Android 圖片吸色，增加過渡效果
效果圖如下：
參考實現：
LongImageDownloadUtil imgLoadUtil = new LongImageDownloadUtil();
imgLoadUtil.loadImageForListener(mContext.getApplicationContext(), data.imgUrl, new LongImageDownloadUtil.OnBitmapLoadListener() {
@Override
public void onBitmapLoaded(Bitmap bitmap) {
if (bitmap != null) {
Palette.from(bitmap).generate(new Palette.PaletteAsyncListener() {
@Override
public void onGenerated(@Nullable Palette palette) {
int dominantColor = palette.getDominantColor(Color.TRANSPARENT);
float[] hsl = new float[3];
ColorUtils.colorToHSL(dominantColor, hsl);
//修改飽和度和亮度
hsl[1] = 0.75f; //飽和度
hsl[2] = 0.45f; //亮度
dominantColor = ColorUtils.HSLToColor(hsl);
int colors[] = { 0x00000000 , dominantColor}; // 透明過渡到吸色
GradientDrawable bg = new GradientDrawable(GradientDrawable.Orientation.TOP_BOTTOM, colors);
float [] bgRadii= new float[] {0,0,0,0,0,0,0,0}; // 圓角
float round = ExtendUtil.dip2px(getContext(), 10);
if (position == 0) {
bgRadii = new float[]{0, 0, 0, 0, 0, 0, round, round};
} else if (position == 2) {
bgRadii = new float[]{0, 0, 0, 0, round, round, 0, 0};
}
bg.setCornerRadii(bgRadii);
mViewCommentBg.setBackground(bg);
}
});
}
}
@Override
public void onBitmapLoadFail() {
}
});
Palette.java 代碼
//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by Fernflower decompiler)
//
import android.graphics.Bitmap;
import android.graphics.Color;
import android.graphics.Rect;
import android.os.AsyncTask;
import android.support.annotation.ColorInt;
import android.support.annotation.NonNull;
import android.support.annotation.Nullable;
import android.support.annotation.Px;
import android.support.v4.graphics.ColorUtils;
import android.support.v4.util.ArrayMap;
import android.util.Log;
import android.util.SparseBooleanArray;
import android.util.TimingLogger;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public final class Palette {
static final int DEFAULT_RESIZE_BITMAP_AREA = 12544;
static final int DEFAULT_CALCULATE_NUMBER_COLORS = 16;
static final float MIN_CONTRAST_TITLE_TEXT = 3.0F;
static final float MIN_CONTRAST_BODY_TEXT = 4.5F;
static final String LOG_TAG = "Palette";
static final boolean LOG_TIMINGS = false;
private final List<Palette.Swatch> mSwatches;
private final List<Target> mTargets;
private final Map<Target, Palette.Swatch> mSelectedSwatches;
private final SparseBooleanArray mUsedColors;
@Nullable
private final Palette.Swatch mDominantSwatch;
static final Palette.Filter DEFAULT_FILTER = new Palette.Filter() {
private static final float BLACK_MAX_LIGHTNESS = 0.05F;
private static final float WHITE_MIN_LIGHTNESS = 0.95F;
public boolean isAllowed(int rgb, float[] hsl) {
return !this.isWhite(hsl) && !this.isBlack(hsl) && !this.isNearRedILine(hsl);
}
private boolean isBlack(float[] hslColor) {
return hslColor[2] <= 0.05F;
}
private boolean isWhite(float[] hslColor) {
return hslColor[2] >= 0.95F;
}
private boolean isNearRedILine(float[] hslColor) {
return hslColor[0] >= 10.0F && hslColor[0] <= 37.0F && hslColor[1] <= 0.82F;
}
};
@NonNull
public static Palette.Builder from(@NonNull Bitmap bitmap) {
return new Palette.Builder(bitmap);
}
@NonNull
public static Palette from(@NonNull List<Palette.Swatch> swatches) {
return (new Palette.Builder(swatches)).generate();
}
/** @deprecated */
@Deprecated
public static Palette generate(Bitmap bitmap) {
return from(bitmap).generate();
}
/** @deprecated */
@Deprecated
public static Palette generate(Bitmap bitmap, int numColors) {
return from(bitmap).maximumColorCount(numColors).generate();
}
/** @deprecated */
@Deprecated
public static AsyncTask<Bitmap, Void, Palette> generateAsync(Bitmap bitmap, Palette.PaletteAsyncListener listener) {
return from(bitmap).generate(listener);
}
/** @deprecated */
@Deprecated
public static AsyncTask<Bitmap, Void, Palette> generateAsync(Bitmap bitmap, int numColors, Palette.PaletteAsyncListener listener) {
return from(bitmap).maximumColorCount(numColors).generate(listener);
}
Palette(List<Palette.Swatch> swatches, List<Target> targets) {
this.mSwatches = swatches;
this.mTargets = targets;
this.mUsedColors = new SparseBooleanArray();
this.mSelectedSwatches = new ArrayMap();
this.mDominantSwatch = this.findDominantSwatch();
}
@NonNull
public List<Palette.Swatch> getSwatches() {
return Collections.unmodifiableList(this.mSwatches);
}
@NonNull
public List<Target> getTargets() {
return Collections.unmodifiableList(this.mTargets);
}
@Nullable
public Palette.Swatch getVibrantSwatch() {
return this.getSwatchForTarget(Target.VIBRANT);
}
@Nullable
public Palette.Swatch getLightVibrantSwatch() {
return this.getSwatchForTarget(Target.LIGHT_VIBRANT);
}
@Nullable
public Palette.Swatch getDarkVibrantSwatch() {
return this.getSwatchForTarget(Target.DARK_VIBRANT);
}
@Nullable
public Palette.Swatch getMutedSwatch() {
return this.getSwatchForTarget(Target.MUTED);
}
@Nullable
public Palette.Swatch getLightMutedSwatch() {
return this.getSwatchForTarget(Target.LIGHT_MUTED);
}
@Nullable
public Palette.Swatch getDarkMutedSwatch() {
return this.getSwatchForTarget(Target.DARK_MUTED);
}
@ColorInt
public int getVibrantColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.VIBRANT, defaultColor);
}
@ColorInt
public int getLightVibrantColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.LIGHT_VIBRANT, defaultColor);
}
@ColorInt
public int getDarkVibrantColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.DARK_VIBRANT, defaultColor);
}
@ColorInt
public int getMutedColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.MUTED, defaultColor);
}
@ColorInt
public int getLightMutedColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.LIGHT_MUTED, defaultColor);
}
@ColorInt
public int getDarkMutedColor(@ColorInt int defaultColor) {
return this.getColorForTarget(Target.DARK_MUTED, defaultColor);
}
@Nullable
public Palette.Swatch getSwatchForTarget(@NonNull Target target) {
return (Palette.Swatch)this.mSelectedSwatches.get(target);
}
@ColorInt
public int getColorForTarget(@NonNull Target target, @ColorInt int defaultColor) {
Palette.Swatch swatch = this.getSwatchForTarget(target);
return swatch != null ? swatch.getRgb() : defaultColor;
}
@Nullable
public Palette.Swatch getDominantSwatch() {
return this.mDominantSwatch;
}
@ColorInt
public int getDominantColor(@ColorInt int defaultColor) {
return this.mDominantSwatch != null ? this.mDominantSwatch.getRgb() : defaultColor;
}
void generate() {
int i = 0;
for(int count = this.mTargets.size(); i < count; ++i) {
Target target = (Target)this.mTargets.get(i);
target.normalizeWeights();
this.mSelectedSwatches.put(target, this.generateScoredTarget(target));
}
this.mUsedColors.clear();
}
@Nullable
private Palette.Swatch generateScoredTarget(Target target) {
Palette.Swatch maxScoreSwatch = this.getMaxScoredSwatchForTarget(target);
if (maxScoreSwatch != null && target.isExclusive()) {
this.mUsedColors.append(maxScoreSwatch.getRgb(), true);
}
return maxScoreSwatch;
}
@Nullable
private Palette.Swatch getMaxScoredSwatchForTarget(Target target) {
float maxScore = 0.0F;
Palette.Swatch maxScoreSwatch = null;
int i = 0;
for(int count = this.mSwatches.size(); i < count; ++i) {
Palette.Swatch swatch = (Palette.Swatch)this.mSwatches.get(i);
if (this.shouldBeScoredForTarget(swatch, target)) {
float score = this.generateScore(swatch, target);
if (maxScoreSwatch == null || score > maxScore) {
maxScoreSwatch = swatch;
maxScore = score;
}
}
}
return maxScoreSwatch;
}
private boolean shouldBeScoredForTarget(Palette.Swatch swatch, Target target) {
float[] hsl = swatch.getHsl();
return hsl[1] >= target.getMinimumSaturation() && hsl[1] <= target.getMaximumSaturation() && hsl[2] >= target.getMinimumLightness() && hsl[2] <= target.getMaximumLightness() && !this.mUsedColors.get(swatch.getRgb());
}
private float generateScore(Palette.Swatch swatch, Target target) {
float[] hsl = swatch.getHsl();
float saturationScore = 0.0F;
float luminanceScore = 0.0F;
float populationScore = 0.0F;
int maxPopulation = this.mDominantSwatch != null ? this.mDominantSwatch.getPopulation() : 1;
if (target.getSaturationWeight() > 0.0F) {
saturationScore = target.getSaturationWeight() * (1.0F - Math.abs(hsl[1] - target.getTargetSaturation()));
}
if (target.getLightnessWeight() > 0.0F) {
luminanceScore = target.getLightnessWeight() * (1.0F - Math.abs(hsl[2] - target.getTargetLightness()));
}
if (target.getPopulationWeight() > 0.0F) {
populationScore = target.getPopulationWeight() * ((float)swatch.getPopulation() / (float)maxPopulation);
}
return saturationScore + luminanceScore + populationScore;
}
@Nullable
private Palette.Swatch findDominantSwatch() {
int maxPop = -2147483648;
Palette.Swatch maxSwatch = null;
int i = 0;
for(int count = this.mSwatches.size(); i < count; ++i) {
Palette.Swatch swatch = (Palette.Swatch)this.mSwatches.get(i);
if (swatch.getPopulation() > maxPop) {
maxSwatch = swatch;
maxPop = swatch.getPopulation();
}
}
return maxSwatch;
}
public interface Filter {
boolean isAllowed(@ColorInt int var1, @NonNull float[] var2);
}
public static final class Builder {
@Nullable
private final List<Palette.Swatch> mSwatches;
@Nullable
private final Bitmap mBitmap;
private final List<Target> mTargets = new ArrayList();
private int mMaxColors = 16;
private int mResizeArea = 12544;
private int mResizeMaxDimension = -1;
private final List<Palette.Filter> mFilters = new ArrayList();
@Nullable
private Rect mRegion;
public Builder(@NonNull Bitmap bitmap) {
if (bitmap != null && !bitmap.isRecycled()) {
this.mFilters.add(Palette.DEFAULT_FILTER);
this.mBitmap = bitmap;
this.mSwatches = null;
this.mTargets.add(Target.LIGHT_VIBRANT);
this.mTargets.add(Target.VIBRANT);
this.mTargets.add(Target.DARK_VIBRANT);
this.mTargets.add(Target.LIGHT_MUTED);
this.mTargets.add(Target.MUTED);
this.mTargets.add(Target.DARK_MUTED);
} else {
throw new IllegalArgumentException("Bitmap is not valid");
}
}
public Builder(@NonNull List<Palette.Swatch> swatches) {
if (swatches != null && !swatches.isEmpty()) {
this.mFilters.add(Palette.DEFAULT_FILTER);
this.mSwatches = swatches;
this.mBitmap = null;
} else {
throw new IllegalArgumentException("List of Swatches is not valid");
}
}
@NonNull
public Palette.Builder maximumColorCount(int colors) {
this.mMaxColors = colors;
return this;
}
/** @deprecated */
@Deprecated
@NonNull
public Palette.Builder resizeBitmapSize(int maxDimension) {
this.mResizeMaxDimension = maxDimension;
this.mResizeArea = -1;
return this;
}
@NonNull
public Palette.Builder resizeBitmapArea(int area) {
this.mResizeArea = area;
this.mResizeMaxDimension = -1;
return this;
}
@NonNull
public Palette.Builder clearFilters() {
this.mFilters.clear();
return this;
}
@NonNull
public Palette.Builder addFilter(Palette.Filter filter) {
if (filter != null) {
this.mFilters.add(filter);
}
return this;
}
@NonNull
public Palette.Builder setRegion(@Px int left, @Px int top, @Px int right, @Px int bottom) {
if (this.mBitmap != null) {
if (this.mRegion == null) {
this.mRegion = new Rect();
}
this.mRegion.set(0, 0, this.mBitmap.getWidth(), this.mBitmap.getHeight());
if (!this.mRegion.intersect(left, top, right, bottom)) {
throw new IllegalArgumentException("The given region must intersect with the Bitmap's dimensions.");
}
}
return this;
}
@NonNull
public Palette.Builder clearRegion() {
this.mRegion = null;
return this;
}
@NonNull
public Palette.Builder addTarget(@NonNull Target target) {
if (!this.mTargets.contains(target)) {
this.mTargets.add(target);
}
return this;
}
@NonNull
public Palette.Builder clearTargets() {
if (this.mTargets != null) {
this.mTargets.clear();
}
return this;
}
@NonNull
public Palette generate() {
TimingLogger logger = null;
List swatches;
if (this.mBitmap != null) {
Bitmap bitmap = this.scaleBitmapDown(this.mBitmap);
if (logger != null) {
((TimingLogger)logger).addSplit("Processed Bitmap");
}
Rect region = this.mRegion;
if (bitmap != this.mBitmap && region != null) {
double scale = (double)bitmap.getWidth() / (double)this.mBitmap.getWidth();
region.left = (int)Math.floor((double)region.left * scale);
region.top = (int)Math.floor((double)region.top * scale);
region.right = Math.min((int)Math.ceil((double)region.right * scale), bitmap.getWidth());
region.bottom = Math.min((int)Math.ceil((double)region.bottom * scale), bitmap.getHeight());
}
ColorCutQuantizer quantizer = new ColorCutQuantizer(this.getPixelsFromBitmap(bitmap), this.mMaxColors, this.mFilters.isEmpty() ? null : (Palette.Filter[])this.mFilters.toArray(new Palette.Filter[this.mFilters.size()]));
if (bitmap != this.mBitmap) {
bitmap.recycle();
}
swatches = quantizer.getQuantizedColors();
if (logger != null) {
((TimingLogger)logger).addSplit("Color quantization completed");
}
} else {
if (this.mSwatches == null) {
throw new AssertionError();
}
swatches = this.mSwatches;
}
Palette p = new Palette(swatches, this.mTargets);
p.generate();
if (logger != null) {
((TimingLogger)logger).addSplit("Created Palette");
((TimingLogger)logger).dumpToLog();
}
return p;
}
@NonNull
public AsyncTask<Bitmap, Void, Palette> generate(@NonNull final Palette.PaletteAsyncListener listener) {
if (listener == null) {
throw new IllegalArgumentException("listener can not be null");
} else {
return (new AsyncTask<Bitmap, Void, Palette>() {
@Nullable
protected Palette doInBackground(Bitmap... params) {
try {
return Builder.this.generate();
} catch (Exception var3) {
Log.e("Palette", "Exception thrown during async generate", var3);
return null;
}
}
protected void onPostExecute(@Nullable Palette colorExtractor) {
listener.onGenerated(colorExtractor);
}
}).executeOnExecutor(AsyncTask.THREAD_POOL_EXECUTOR, new Bitmap[]{this.mBitmap});
}
}
private int[] getPixelsFromBitmap(Bitmap bitmap) {
int bitmapWidth = bitmap.getWidth();
int bitmapHeight = bitmap.getHeight();
int[] pixels = new int[bitmapWidth * bitmapHeight];
bitmap.getPixels(pixels, 0, bitmapWidth, 0, 0, bitmapWidth, bitmapHeight);
if (this.mRegion == null) {
return pixels;
} else {
int regionWidth = this.mRegion.width();
int regionHeight = this.mRegion.height();
int[] subsetPixels = new int[regionWidth * regionHeight];
for(int row = 0; row < regionHeight; ++row) {
System.arraycopy(pixels, (row + this.mRegion.top) * bitmapWidth + this.mRegion.left, subsetPixels, row * regionWidth, regionWidth);
}
return subsetPixels;
}
}
private Bitmap scaleBitmapDown(Bitmap bitmap) {
double scaleRatio = -1.0D;
int maxDimension;
if (this.mResizeArea > 0) {
maxDimension = bitmap.getWidth() * bitmap.getHeight();
if (maxDimension > this.mResizeArea) {
scaleRatio = Math.sqrt((double)this.mResizeArea / (double)maxDimension);
}
} else if (this.mResizeMaxDimension > 0) {
maxDimension = Math.max(bitmap.getWidth(), bitmap.getHeight());
if (maxDimension > this.mResizeMaxDimension) {
scaleRatio = (double)this.mResizeMaxDimension / (double)maxDimension;
}
}
return scaleRatio <= 0.0D ? bitmap : Bitmap.createScaledBitmap(bitmap, (int)Math.ceil((double)bitmap.getWidth() * scaleRatio), (int)Math.ceil((double)bitmap.getHeight() * scaleRatio), false);
}
}
public static final class Swatch {
private final int mRed;
private final int mGreen;
private final int mBlue;
private final int mRgb;
private final int mPopulation;
private boolean mGeneratedTextColors;
private int mTitleTextColor;
private int mBodyTextColor;
@Nullable
private float[] mHsl;
public Swatch(@ColorInt int color, int population) {
this.mRed = Color.red(color);
this.mGreen = Color.green(color);
this.mBlue = Color.blue(color);
this.mRgb = color;
this.mPopulation = population;
}
Swatch(int red, int green, int blue, int population) {
this.mRed = red;
this.mGreen = green;
this.mBlue = blue;
this.mRgb = Color.rgb(red, green, blue);
this.mPopulation = population;
}
Swatch(float[] hsl, int population) {
this(ColorUtils.HSLToColor(hsl), population);
this.mHsl = hsl;
}
@ColorInt
public int getRgb() {
return this.mRgb;
}
@NonNull
public float[] getHsl() {
if (this.mHsl == null) {
this.mHsl = new float[3];
}
ColorUtils.RGBToHSL(this.mRed, this.mGreen, this.mBlue, this.mHsl);
return this.mHsl;
}
public int getPopulation() {
return this.mPopulation;
}
@ColorInt
public int getTitleTextColor() {
this.ensureTextColorsGenerated();
return this.mTitleTextColor;
}
@ColorInt
public int getBodyTextColor() {
this.ensureTextColorsGenerated();
return this.mBodyTextColor;
}
private void ensureTextColorsGenerated() {
if (!this.mGeneratedTextColors) {
int lightBodyAlpha = ColorUtils.calculateMinimumAlpha(-1, this.mRgb, 4.5F);
int lightTitleAlpha = ColorUtils.calculateMinimumAlpha(-1, this.mRgb, 3.0F);
if (lightBodyAlpha != -1 && lightTitleAlpha != -1) {
this.mBodyTextColor = ColorUtils.setAlphaComponent(-1, lightBodyAlpha);
this.mTitleTextColor = ColorUtils.setAlphaComponent(-1, lightTitleAlpha);
this.mGeneratedTextColors = true;
return;
}
int darkBodyAlpha = ColorUtils.calculateMinimumAlpha(-16777216, this.mRgb, 4.5F);
int darkTitleAlpha = ColorUtils.calculateMinimumAlpha(-16777216, this.mRgb, 3.0F);
if (darkBodyAlpha != -1 && darkTitleAlpha != -1) {
this.mBodyTextColor = ColorUtils.setAlphaComponent(-16777216, darkBodyAlpha);
this.mTitleTextColor = ColorUtils.setAlphaComponent(-16777216, darkTitleAlpha);
this.mGeneratedTextColors = true;
return;
}
this.mBodyTextColor = lightBodyAlpha != -1 ? ColorUtils.setAlphaComponent(-1, lightBodyAlpha) : ColorUtils.setAlphaComponent(-16777216, darkBodyAlpha);
this.mTitleTextColor = lightTitleAlpha != -1 ? ColorUtils.setAlphaComponent(-1, lightTitleAlpha) : ColorUtils.setAlphaComponent(-16777216, darkTitleAlpha);
this.mGeneratedTextColors = true;
}
}
public String toString() {
return this.getClass().getSimpleName() + " [RGB: #" + Integer.toHexString(this.getRgb()) + ']' + " [HSL: " + Arrays.toString(this.getHsl()) + ']' + " [Population: " + this.mPopulation + ']' + " [Title Text: #" + Integer.toHexString(this.getTitleTextColor()) + ']' + " [Body Text: #" + Integer.toHexString(this.getBodyTextColor()) + ']';
}
public boolean equals(Object o) {
if (this == o) {
return true;
} else if (o != null && this.getClass() == o.getClass()) {
Palette.Swatch swatch = (Palette.Swatch)o;
return this.mPopulation == swatch.mPopulation && this.mRgb == swatch.mRgb;
} else {
return false;
}
}
public int hashCode() {
return 31 * this.mRgb + this.mPopulation;
}
}
public interface PaletteAsyncListener {
void onGenerated(@Nullable Palette var1);
}
}
Target.java
//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by Fernflower decompiler)
//
import android.support.annotation.FloatRange;
import android.support.annotation.NonNull;
public final class Target {
private static final float TARGET_DARK_LUMA = 0.26F;
private static final float MAX_DARK_LUMA = 0.45F;
private static final float MIN_LIGHT_LUMA = 0.55F;
private static final float TARGET_LIGHT_LUMA = 0.74F;
private static final float MIN_NORMAL_LUMA = 0.3F;
private static final float TARGET_NORMAL_LUMA = 0.5F;
private static final float MAX_NORMAL_LUMA = 0.7F;
private static final float TARGET_MUTED_SATURATION = 0.3F;
private static final float MAX_MUTED_SATURATION = 0.4F;
private static final float TARGET_VIBRANT_SATURATION = 1.0F;
private static final float MIN_VIBRANT_SATURATION = 0.35F;
private static final float WEIGHT_SATURATION = 0.24F;
private static final float WEIGHT_LUMA = 0.52F;
private static final float WEIGHT_POPULATION = 0.24F;
static final int INDEX_MIN = 0;
static final int INDEX_TARGET = 1;
static final int INDEX_MAX = 2;
static final int INDEX_WEIGHT_SAT = 0;
static final int INDEX_WEIGHT_LUMA = 1;
static final int INDEX_WEIGHT_POP = 2;
public static final Target LIGHT_VIBRANT = new Target();
public static final Target VIBRANT;
public static final Target DARK_VIBRANT;
public static final Target LIGHT_MUTED;
public static final Target MUTED;
public static final Target DARK_MUTED;
final float[] mSaturationTargets = new float[3];
final float[] mLightnessTargets = new float[3];
final float[] mWeights = new float[3];
boolean mIsExclusive = true;
Target() {
setTargetDefaultValues(this.mSaturationTargets);
setTargetDefaultValues(this.mLightnessTargets);
this.setDefaultWeights();
}
Target(@NonNull Target from) {
System.arraycopy(from.mSaturationTargets, 0, this.mSaturationTargets, 0, this.mSaturationTargets.length);
System.arraycopy(from.mLightnessTargets, 0, this.mLightnessTargets, 0, this.mLightnessTargets.length);
System.arraycopy(from.mWeights, 0, this.mWeights, 0, this.mWeights.length);
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getMinimumSaturation() {
return this.mSaturationTargets[0];
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getTargetSaturation() {
return this.mSaturationTargets[1];
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getMaximumSaturation() {
return this.mSaturationTargets[2];
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getMinimumLightness() {
return this.mLightnessTargets[0];
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getTargetLightness() {
return this.mLightnessTargets[1];
}
@FloatRange(
from = 0.0D,
to = 1.0D
)
public float getMaximumLightness() {
return this.mLightnessTargets[2];
}
public float getSaturationWeight() {
return this.mWeights[0];
}
public float getLightnessWeight() {
return this.mWeights[1];
}
public float getPopulationWeight() {
return this.mWeights[2];
}
public boolean isExclusive() {
return this.mIsExclusive;
}
private static void setTargetDefaultValues(float[] values) {
values[0] = 0.0F;
values[1] = 0.5F;
values[2] = 1.0F;
}
private void setDefaultWeights() {
this.mWeights[0] = 0.24F;
this.mWeights[1] = 0.52F;
this.mWeights[2] = 0.24F;
}
void normalizeWeights() {
float sum = 0.0F;
int i = 0;
int z;
for(z = this.mWeights.length; i < z; ++i) {
float weight = this.mWeights[i];
if (weight > 0.0F) {
sum += weight;
}
}
if (sum != 0.0F) {
i = 0;
for(z = this.mWeights.length; i < z; ++i) {
if (this.mWeights[i] > 0.0F) {
float[] var10000 = this.mWeights;
var10000[i] /= sum;
}
}
}
}
private static void setDefaultDarkLightnessValues(Target target) {
target.mLightnessTargets[1] = 0.26F;
target.mLightnessTargets[2] = 0.45F;
}
private static void setDefaultNormalLightnessValues(Target target) {
target.mLightnessTargets[0] = 0.3F;
target.mLightnessTargets[1] = 0.5F;
target.mLightnessTargets[2] = 0.7F;
}
private static void setDefaultLightLightnessValues(Target target) {
target.mLightnessTargets[0] = 0.55F;
target.mLightnessTargets[1] = 0.74F;
}
private static void setDefaultVibrantSaturationValues(Target target) {
target.mSaturationTargets[0] = 0.35F;
target.mSaturationTargets[1] = 1.0F;
}
private static void setDefaultMutedSaturationValues(Target target) {
target.mSaturationTargets[1] = 0.3F;
target.mSaturationTargets[2] = 0.4F;
}
static {
setDefaultLightLightnessValues(LIGHT_VIBRANT);
setDefaultVibrantSaturationValues(LIGHT_VIBRANT);
VIBRANT = new Target();
setDefaultNormalLightnessValues(VIBRANT);
setDefaultVibrantSaturationValues(VIBRANT);
DARK_VIBRANT = new Target();
setDefaultDarkLightnessValues(DARK_VIBRANT);
setDefaultVibrantSaturationValues(DARK_VIBRANT);
LIGHT_MUTED = new Target();
setDefaultLightLightnessValues(LIGHT_MUTED);
setDefaultMutedSaturationValues(LIGHT_MUTED);
MUTED = new Target();
setDefaultNormalLightnessValues(MUTED);
setDefaultMutedSaturationValues(MUTED);
DARK_MUTED = new Target();
setDefaultDarkLightnessValues(DARK_MUTED);
setDefaultMutedSaturationValues(DARK_MUTED);
}
public static final class Builder {
private final Target mTarget;
public Builder() {
this.mTarget = new Target();
}
public Builder(@NonNull Target target) {
this.mTarget = new Target(target);
}
@NonNull
public Target.Builder setMinimumSaturation(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mSaturationTargets[0] = value;
return this;
}
@NonNull
public Target.Builder setTargetSaturation(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mSaturationTargets[1] = value;
return this;
}
@NonNull
public Target.Builder setMaximumSaturation(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mSaturationTargets[2] = value;
return this;
}
@NonNull
public Target.Builder setMinimumLightness(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mLightnessTargets[0] = value;
return this;
}
@NonNull
public Target.Builder setTargetLightness(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mLightnessTargets[1] = value;
return this;
}
@NonNull
public Target.Builder setMaximumLightness(@FloatRange(from = 0.0D,to = 1.0D) float value) {
this.mTarget.mLightnessTargets[2] = value;
return this;
}
@NonNull
public Target.Builder setSaturationWeight(@FloatRange(from = 0.0D) float weight) {
this.mTarget.mWeights[0] = weight;
return this;
}
@NonNull
public Target.Builder setLightnessWeight(@FloatRange(from = 0.0D) float weight) {
this.mTarget.mWeights[1] = weight;
return this;
}
@NonNull
public Target.Builder setPopulationWeight(@FloatRange(from = 0.0D) float weight) {
this.mTarget.mWeights[2] = weight;
return this;
}
@NonNull
public Target.Builder setExclusive(boolean exclusive) {
this.mTarget.mIsExclusive = exclusive;
return this;
}
@NonNull
public Target build() {
return this.mTarget;
}
}
}
ColorCutQuantizer.java
/*
* Copyright 2014 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import android.graphics.Color;
import android.support.v4.graphics.ColorUtils;
import android.util.TimingLogger;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.List;
import java.util.PriorityQueue;
/**
* An color quantizer based on the Median-cut algorithm, but optimized for picking out distinct
* colors rather than representation colors.
*
* The color space is represented as a 3-dimensional cube with each dimension being an RGB
* component. The cube is then repeatedly divided until we have reduced the color space to the
* requested number of colors. An average color is then generated from each cube.
*
* What makes this different to median-cut is that median-cut divided cubes so that all of the cubes
* have roughly the same population, where this quantizer divides boxes based on their color volume.
* This means that the color space is divided into distinct colors, rather than representative
* colors.
*/
final class ColorCutQuantizer {
private static final String LOG_TAG = "ColorCutQuantizer";
private static final boolean LOG_TIMINGS = false;
private static final int COMPONENT_RED = -3;
private static final int COMPONENT_GREEN = -2;
private static final int COMPONENT_BLUE = -1;
private static final int QUANTIZE_WORD_WIDTH = 5;
private static final int QUANTIZE_WORD_MASK = (1 << QUANTIZE_WORD_WIDTH) - 1;
final int[] mColors;
final int[] mHistogram;
final List<Palette.Swatch> mQuantizedColors;
final TimingLogger mTimingLogger;
final Palette.Filter[] mFilters;
private final float[] mTempHsl = new float[3];
/**
* Constructor.
*
* @param pixels histogram representing an image's pixel data
* @param maxColors The maximum number of colors that should be in the result palette.
* @param filters Set of filters to use in the quantization stage
*/
ColorCutQuantizer(final int[] pixels, final int maxColors, final Palette.Filter[] filters) {
mTimingLogger = LOG_TIMINGS ? new TimingLogger(LOG_TAG, "Creation") : null;
mFilters = filters;
final int[] hist = mHistogram = new int[1 << (QUANTIZE_WORD_WIDTH * 3)];
for (int i = 0; i < pixels.length; i++) {
final int quantizedColor = quantizeFromRgb888(pixels[i]);
// Now update the pixel value to the quantized value
pixels[i] = quantizedColor;
// And update the histogram
hist[quantizedColor]++;
}
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Histogram created");
}
// Now let's count the number of distinct colors
int distinctColorCount = 0;
for (int color = 0; color < hist.length; color++) {
if (hist[color] > 0 && shouldIgnoreColor(color)) {
// If we should ignore the color, set the population to 0
hist[color] = 0;
}
if (hist[color] > 0) {
// If the color has population, increase the distinct color count
distinctColorCount++;
}
}
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Filtered colors and distinct colors counted");
}
// Now lets go through create an array consisting of only distinct colors
final int[] colors = mColors = new int[distinctColorCount];
int distinctColorIndex = 0;
for (int color = 0; color < hist.length; color++) {
if (hist[color] > 0) {
colors[distinctColorIndex++] = color;
}
}
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Distinct colors copied into array");
}
if (distinctColorCount <= maxColors) {
// The image has fewer colors than the maximum requested, so just return the colors
mQuantizedColors = new ArrayList<>();
for (int color : colors) {
mQuantizedColors.add(new Palette.Swatch(approximateToRgb888(color), hist[color]));
}
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Too few colors present. Copied to Swatches");
mTimingLogger.dumpToLog();
}
} else {
// We need use quantization to reduce the number of colors
mQuantizedColors = quantizePixels(maxColors);
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Quantized colors computed");
mTimingLogger.dumpToLog();
}
}
}
/**
* @return the list of quantized colors
*/
List<Palette.Swatch> getQuantizedColors() {
return mQuantizedColors;
}
private List<Palette.Swatch> quantizePixels(int maxColors) {
// Create the priority queue which is sorted by volume descending. This means we always
// split the largest box in the queue
final PriorityQueue<Vbox> pq = new PriorityQueue<>(maxColors, VBOX_COMPARATOR_VOLUME);
// To start, offer a box which contains all of the colors
pq.offer(new Vbox(0, mColors.length - 1));
// Now go through the boxes, splitting them until we have reached maxColors or there are no
// more boxes to split
splitBoxes(pq, maxColors);
// Finally, return the average colors of the color boxes
return generateAverageColors(pq);
}
/**
* Iterate through the {@link java.util.Queue}, popping
* {@link ColorCutQuantizer.Vbox} objects from the queue
* and splitting them. Once split, the new box and the remaining box are offered back to the
* queue.
*
* @param queue {@link java.util.PriorityQueue} to poll for boxes
* @param maxSize Maximum amount of boxes to split
*/
private void splitBoxes(final PriorityQueue<Vbox> queue, final int maxSize) {
while (queue.size() < maxSize) {
final Vbox vbox = queue.poll();
if (vbox != null && vbox.canSplit()) {
// First split the box, and offer the result
queue.offer(vbox.splitBox());
if (LOG_TIMINGS) {
mTimingLogger.addSplit("Box split");
}
// Then offer the box back
queue.offer(vbox);
} else {
if (LOG_TIMINGS) {
mTimingLogger.addSplit("All boxes split");
}
// If we get here then there are no more boxes to split, so return
return;
}
}
}
private List<Palette.Swatch> generateAverageColors(Collection<Vbox> vboxes) {
ArrayList<Palette.Swatch> colors = new ArrayList<>(vboxes.size());
for (Vbox vbox : vboxes) {
Palette.Swatch swatch = vbox.getAverageColor();
if (!shouldIgnoreColor(swatch)) {
// As we're averaging a color box, we can still get colors which we do not want, so
// we check again here
colors.add(swatch);
}
}
return colors;
}
/**
* Represents a tightly fitting box around a color space.
*/
private class Vbox {
// lower and upper index are inclusive
private int mLowerIndex;
private int mUpperIndex;
// Population of colors within this box
private int mPopulation;
private int mMinRed, mMaxRed;
private int mMinGreen, mMaxGreen;
private int mMinBlue, mMaxBlue;
Vbox(int lowerIndex, int upperIndex) {
mLowerIndex = lowerIndex;
mUpperIndex = upperIndex;
fitBox();
}
final int getVolume() {
return (mMaxRed - mMinRed + 1) * (mMaxGreen - mMinGreen + 1) *
(mMaxBlue - mMinBlue + 1);
}
final boolean canSplit() {
return getColorCount() > 1;
}
final int getColorCount() {
return 1 + mUpperIndex - mLowerIndex;
}
/**
* Recomputes the boundaries of this box to tightly fit the colors within the box.
*/
final void fitBox() {
final int[] colors = mColors;
final int[] hist = mHistogram;
// Reset the min and max to opposite values
int minRed, minGreen, minBlue;
minRed = minGreen = minBlue = Integer.MAX_VALUE;
int maxRed, maxGreen, maxBlue;
maxRed = maxGreen = maxBlue = Integer.MIN_VALUE;
int count = 0;
for (int i = mLowerIndex; i <= mUpperIndex; i++) {
final int color = colors[i];
count += hist[color];
final int r = quantizedRed(color);
final int g = quantizedGreen(color);
final int b = quantizedBlue(color);
if (r > maxRed) {
maxRed = r;
}
if (r < minRed) {
minRed = r;
}
if (g > maxGreen) {
maxGreen = g;
}
if (g < minGreen) {
minGreen = g;
}
if (b > maxBlue) {
maxBlue = b;
}
if (b < minBlue) {
minBlue = b;
}
}
mMinRed = minRed;
mMaxRed = maxRed;
mMinGreen = minGreen;
mMaxGreen = maxGreen;
mMinBlue = minBlue;
mMaxBlue = maxBlue;
mPopulation = count;
}
/**
* Split this color box at the mid-point along it's longest dimension
*
* @return the new ColorBox
*/
final Vbox splitBox() {
if (!canSplit()) {
throw new IllegalStateException("Can not split a box with only 1 color");
}
// find median along the longest dimension
final int splitPoint = findSplitPoint();
Vbox newBox = new Vbox(splitPoint + 1, mUpperIndex);
// Now change this box's upperIndex and recompute the color boundaries
mUpperIndex = splitPoint;
fitBox();
return newBox;
}
/**
* @return the dimension which this box is largest in
*/
final int getLongestColorDimension() {
final int redLength = mMaxRed - mMinRed;
final int greenLength = mMaxGreen - mMinGreen;
final int blueLength = mMaxBlue - mMinBlue;
if (redLength >= greenLength && redLength >= blueLength) {
return COMPONENT_RED;
} else if (greenLength >= redLength && greenLength >= blueLength) {
return COMPONENT_GREEN;
} else {
return COMPONENT_BLUE;
}
}
/**
* Finds the point within this box's lowerIndex and upperIndex index of where to split.
*
* This is calculated by finding the longest color dimension, and then sorting the
* sub-array based on that dimension value in each color. The colors are then iterated over
* until a color is found with at least the midpoint of the whole box's dimension midpoint.
*
* @return the index of the colors array to split from
*/
final int findSplitPoint() {
final int longestDimension = getLongestColorDimension();
final int[] colors = mColors;
final int[] hist = mHistogram;
// We need to sort the colors in this box based on the longest color dimension.
// As we can't use a Comparator to define the sort logic, we modify each color so that
// it's most significant is the desired dimension
modifySignificantOctet(colors, longestDimension, mLowerIndex, mUpperIndex);
// Now sort... Arrays.sort uses a exclusive toIndex so we need to add 1
Arrays.sort(colors, mLowerIndex, mUpperIndex + 1);
// Now revert all of the colors so that they are packed as RGB again
modifySignificantOctet(colors, longestDimension, mLowerIndex, mUpperIndex);
final int midPoint = mPopulation / 2;
for (int i = mLowerIndex, count = 0; i <= mUpperIndex; i++) {
count += hist[colors[i]];
if (count >= midPoint) {
return i;
}
}
return mLowerIndex;
}
/**
* @return the average color of this box.
*/
final Palette.Swatch getAverageColor() {
final int[] colors = mColors;
final int[] hist = mHistogram;
int redSum = 0;
int greenSum = 0;
int blueSum = 0;
int totalPopulation = 0;
for (int i = mLowerIndex; i <= mUpperIndex; i++) {
final int color = colors[i];
final int colorPopulation = hist[color];
totalPopulation += colorPopulation;
redSum += colorPopulation * quantizedRed(color);
greenSum += colorPopulation * quantizedGreen(color);
blueSum += colorPopulation * quantizedBlue(color);
}
final int redMean = Math.round(redSum / (float) totalPopulation);
final int greenMean = Math.round(greenSum / (float) totalPopulation);
final int blueMean = Math.round(blueSum / (float) totalPopulation);
return new Palette.Swatch(approximateToRgb888(redMean, greenMean, blueMean), totalPopulation);
}
}
/**
* Modify the significant octet in a packed color int. Allows sorting based on the value of a
* single color component. This relies on all components being the same word size.
*
* @see Vbox#findSplitPoint()
*/
private static void modifySignificantOctet(final int[] a, final int dimension,
final int lower, final int upper) {
switch (dimension) {
case COMPONENT_RED:
// Already in RGB, no need to do anything
break;
case COMPONENT_GREEN:
// We need to do a RGB to GRB swap, or vice-versa
for (int i = lower; i <= upper; i++) {
final int color = a[i];
a[i] = quantizedGreen(color) << (QUANTIZE_WORD_WIDTH + QUANTIZE_WORD_WIDTH)
| quantizedRed(color) << QUANTIZE_WORD_WIDTH
| quantizedBlue(color);
}
break;
case COMPONENT_BLUE:
// We need to do a RGB to BGR swap, or vice-versa
for (int i = lower; i <= upper; i++) {
final int color = a[i];
a[i] = quantizedBlue(color) << (QUANTIZE_WORD_WIDTH + QUANTIZE_WORD_WIDTH)
| quantizedGreen(color) << QUANTIZE_WORD_WIDTH
| quantizedRed(color);
}
break;
}
}
private boolean shouldIgnoreColor(int color565) {
final int rgb = approximateToRgb888(color565);
ColorUtils.colorToHSL(rgb, mTempHsl);
return shouldIgnoreColor(rgb, mTempHsl);
}
private boolean shouldIgnoreColor(Palette.Swatch color) {
return shouldIgnoreColor(color.getRgb(), color.getHsl());
}
private boolean shouldIgnoreColor(int rgb, float[] hsl) {
if (mFilters != null && mFilters.length > 0) {
for (int i = 0, count = mFilters.length; i < count; i++) {
if (!mFilters[i].isAllowed(rgb, hsl)) {
return true;
}
}
}
return false;
}
/**
* Comparator which sorts {@link Vbox} instances based on their volume, in descending order
*/
private static final Comparator<Vbox> VBOX_COMPARATOR_VOLUME = new Comparator<Vbox>() {
@Override
public int compare(Vbox lhs, Vbox rhs) {
return rhs.getVolume() - lhs.getVolume();
}
};
/**
* Quantized a RGB888 value to have a word width of {@value #QUANTIZE_WORD_WIDTH}.
*/
private static int quantizeFromRgb888(int color) {
int r = modifyWordWidth(Color.red(color), 8, QUANTIZE_WORD_WIDTH);
int g = modifyWordWidth(Color.green(color), 8, QUANTIZE_WORD_WIDTH);
int b = modifyWordWidth(Color.blue(color), 8, QUANTIZE_WORD_WIDTH);
return r << (QUANTIZE_WORD_WIDTH + QUANTIZE_WORD_WIDTH) | g << QUANTIZE_WORD_WIDTH | b;
}
/**
* Quantized RGB888 values to have a word width of {@value #QUANTIZE_WORD_WIDTH}.
*/
private static int approximateToRgb888(int r, int g, int b) {
return Color.rgb(modifyWordWidth(r, QUANTIZE_WORD_WIDTH, 8),
modifyWordWidth(g, QUANTIZE_WORD_WIDTH, 8),
modifyWordWidth(b, QUANTIZE_WORD_WIDTH, 8));
}
private static int approximateToRgb888(int color) {
return approximateToRgb888(quantizedRed(color), quantizedGreen(color), quantizedBlue(color));
}
/**
* @return red component of the quantized color
*/
private static int quantizedRed(int color) {
return (color >> (QUANTIZE_WORD_WIDTH + QUANTIZE_WORD_WIDTH)) & QUANTIZE_WORD_MASK;
}
/**
* @return green component of a quantized color
*/
private static int quantizedGreen(int color) {
return (color >> QUANTIZE_WORD_WIDTH) & QUANTIZE_WORD_MASK;
}
/**
* @return blue component of a quantized color
*/
private static int quantizedBlue(int color) {
return color & QUANTIZE_WORD_MASK;
}
private static int modifyWordWidth(int value, int currentWidth, int targetWidth) {
final int newValue;
if (targetWidth > currentWidth) {
// If we're approximating up in word width, we'll shift up
newValue = value << (targetWidth - currentWidth);
} else {
// Else, we will just shift and keep the MSB
newValue = value >> (currentWidth - targetWidth);
}
return newValue & ((1 << targetWidth) - 1);
}
}