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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bertalmío, Marcelo (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Optical data processing.; Image Processing and Computer Vision.

This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert contributors provide their insights into the fundamental challenges that remain in the field of denoising, examining how to properly model noise in real scenarios, h...

Table of Contents:

• Modelling and Estimation of Signal-Dependent and Correlated Noise
• Sparsity-Based Denoising of Photographic Images: From Model-Based to Data-Driven
• Image Denoising - Old and New
• Convolutional Neural Networks for Image Denoising and Restoration
• Gaussian Priors for Image Denoising
• Internal Versus External Denoising - Benefits and Bounds
• Patch-Based Methods for Video Denoising
• Image and Video Noise: An Industry Perspective
• Noise Characteristics and Noise Perception
• Pull-Push Non-Local Means with Guided and Burst Filtering Capabilities
• Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods.