Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends

Front Matter ....Pages i-xiv
 Modeling and Estimation of Signal-Dependent and Correlated Noise  (Lucio Azzari, Lucas Rodrigues Borges, Alessandro Foi)....Pages 1-36
 Sparsity-Based Denoising of Photographic Images: From Model-Based to Data-Driven  (Xin Li, Weisheng Dong, Guangming Shi)....Pages 37-62
 Image Denoising—Old and New  (Michael Moeller, Daniel Cremers)....Pages 63-91
 Convolutional Neural Networks for Image Denoising and Restoration  (Wangmeng Zuo, Kai Zhang, Lei Zhang)....Pages 93-123
 Gaussian Priors for Image Denoising  (Julie Delon, Antoine Houdard)....Pages 125-149
 Internal Versus External Denoising—Benefits and Bounds  (Maria Zontak, Michal Irani)....Pages 151-174
 Patch-Based Methods for Video Denoising  (A. Buades, J. L. Lisani)....Pages 175-205
 Image and Video Noise: An Industry Perspective  (Stuart Perry)....Pages 207-234
 Noise Characteristics and Noise Perception  (Tamara Seybold)....Pages 235-265
 Pull-Push Non-local Means with Guided and Burst Filtering Capabilities  (John R. Isidoro, Peyman Milanfar)....Pages 267-294
 Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods  (Gabriela Ghimpeteanu, Thomas Batard, Stacey Levine, Marcelo Bertalmío)....Pages 295-329
Back Matter ....Pages 331-333