类似于之前的paper调研的论文，本博文主要是对于multi-scale在low-level-vision中的应用做调研
《Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image》
论文开篇提到“Multi-scale approach has been used for blind image video deblurring problems to yield excellent performance for both conventional and recent deep-learning-based state-of-the-art methods.”看来在deblur领域multi-scale应用较为广泛。那么对于去模糊的任务，multi scale是有效的，那在其他low-level-vision任务上也应该有效
propose convolutional neural network (CNN)-based down-scale methods for multi-scale deep-learning-based non-uniform single image deblurring.