Digital Contrast Optimization – A faster and better method for optimizing system MTF
優勢：(獲得給定空間頻率時更高的MTF；速度更快)
In a traditional MTF optimization, the Merit Function would contain just one line, and the optimization would internally determine the sensitivity of the final MTF value to each variable. In the case of Digital Contrast Optimization, the optimization routine can determine the sensitivity of each wavefront difference for each variable specified. This drastically increases the amount of information available to the optimization routine, which causes the optimization to converge more quickly and to a better final result.
在傳統的MTF優化中，優值函數只包含一行，優化將在內部確定最終MTF值對每個變量的敏感性。在數字對比度優化的情況下，優化程序可以確定每個指定變量的每個波前差的靈敏度。這極大地增加了優化過程可用的信息量，從而使優化更快地收斂，得到更好的最終結果。
This new technique allows for robust and efficient on the system MTF at a given spatial frequency. The method minimizes the wavefront differences between pairs of rays separated by a pupil shift corresponding to the targeted spatial frequency, which maximizes the MTF.
該方法在給定空間頻率對MTF進行有效優化，最大限度地減小了由目標空間頻率對應的光瞳位移分離的一對光之間的波前差異，從而最大限度地提高了MTF。
使用說明：
The optimization will tend to choose a solution that has a higher MTF at the specified spatial frequency and allows the MTF to degrade for frequencies elsewhere.
Also like other MTF optimizations, Digital Contrast Optimization should be applied to systems that are not diffraction-limited. For diffraction-limited systems, the shape of the MTF is predetermined so that optimizing directly on wavefront or on MTF will give largely identical results.
和其他MTF優化一樣，數字對比度優化應該應用於不受衍射限制的系統。對於有限衍射系統，MTF的形狀是預先確定的，因此直接在波前或MTF上進行優化將得到大致相同的結果。
