[2008 TIP] Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
2. Color 如果对颜色的形成有一定的了解，能比较深刻的理解一些算法。这方面推荐冈萨雷斯的数字图像处理中的相关章节以及Sharma在Digital Color Imaging Handbook中的第一章“Color fundamentals for digital imaging”。跟颜色相关的知识包括Gamma，颜色空间转换，颜色索引以及肤色模型等，这其中也包括著名的EMD。[1991 IJCV] Color Indexing
[2000 IJCV] The Earth Mover\'s Distance as a Metric for Image Retrieval
[2001 PAMI] Color invariance
[2002 IJCV] Statistical Color Models with Application to Skin Detection
[2003] A review of RGB color spaces
[2007 PR]A survey of skin-color modeling and detection methods
Gamma.pdf
GammaFAQ.pdf
3. Compression and Encoding 个人以为图像压缩编码并不是当前很热的一个话题，原因前面已经提到过。这里可以看看一篇对编码方面的展望文章[2005 IEEE] Trends and perspectives in image and video coding
4. Contrast Enhancement 对比度增强一直是图像处理中的一个恒久话题，一般来说都是基于直方图的，比如直方图均衡化。冈萨雷斯的书里面对这个话题讲的比较透彻。这里推荐几篇个人认为不错的文章。[2002 IJCV] Vision and the Atmosphere
[2003 TIP] Gray and color image contrast enhancement by the curvelet transform
[2006 TIP] Gray-level grouping (GLG) an automatic method for optimized image contrast enhancement-part II
[2006 TIP] Gray-level grouping (GLG) an automatic method for optimized image contrast Enhancement-part I
[2007 TIP] Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy
[2009 TIP] A Histogram Modification Framework and Its Application for Image Contrast Enhancement
5. Deblur (Restoration) 图像恢复或者图像去模糊一直是一个非常难的问题，尤其是盲图像恢复。港中文的jiaya jia老师在这方面做的不错，他在主页也给出了可执行文件。这方面的内容也建议看冈萨雷斯的书。这里列出了几篇口碑比较好的文献，包括古老的Richardson-Lucy方法，几篇盲图像恢复的综述以及最近的几篇文章，尤以Fergus和Jiaya Jia的为经典。[1972] Bayesian-Based Iterative Method of Image Restoration
[1974] an iterative technique for the rectification of observed distributions
[1990 IEEE] Iterative methods for image deblurring
[1996 SPM] Blind Image Deconvolution
[1997 SPM] Digital image restoration
[2005] Digital Image Reconstruction - Deblurring and Denoising
[2006 Siggraph] Removing Camera Shake from a Single Photograph
[2008 Siggraph] High-quality Motion Deblurring from a Single Image
[2011 PAMI] Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
6. Dehazing and Defog 严格来说去雾化也算是图像对比度增强的一种。这方面最近比较好的工作就是He kaiming等提出的Dark Channel方法。这篇论文也获得了2009的CVPR 最佳论文奖。2这位003年的广东高考状元已经于2011年从港中文博士毕业加入MSRA（估计当时也就二十五六岁吧），相当了不起。[2008 Siggraph] Single Image Dehazing
[2009 CVPR] Single Image Haze Removal Using Dark Channel Prior
[2011 PAMI] Single Image Haze Removal Using Dark Channel Prior
7. Denoising 图像去噪也是图像处理中的一个经典问题，在数码摄影中尤其重要。主要的方法有基于小波的方法和基于偏微分方程的方法。[1992 SIAM] Image selective smoothing and edge detection by nonlinear diffusion. II
[1992 SIAM] Image selective smoothing and edge detection by nonlinear diffusion
[1992] Nonlinear total variation based noise removal algorithms
[1994 SIAM] Signal and image restoration using shock filters and anisotropic diffusion
[1995 TIT] De-noising by soft-thresholding
[1998 TIP] Orientation diffusions
[2000 TIP] Adaptive wavelet thresholding for image denoising and compression
[2000 TIP] Fourth-order partial differential equations for noise removal
[2001] Denoising through wavelet shrinkage
[2002 TIP] The Curvelet Transform for Image Denoising
[2003 TIP] Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time
[2008 PAMI] Automatic Estimation and Removal of Noise from a Single Image