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Denoising of Photographic Images and Video

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Cover of 'Denoising of Photographic Images and Video'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling and Estimation of Signal-Dependent and Correlated Noise
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    Chapter 2 Sparsity-Based Denoising of Photographic Images: From Model-Based to Data-Driven
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    Chapter 3 Image Denoising—Old and New
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    Chapter 4 Convolutional Neural Networks for Image Denoising and Restoration
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    Chapter 5 Gaussian Priors for Image Denoising
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    Chapter 6 Internal Versus External Denoising—Benefits and Bounds
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    Chapter 7 Patch-Based Methods for Video Denoising
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    Chapter 8 Image and Video Noise: An Industry Perspective
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    Chapter 9 Noise Characteristics and Noise Perception
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    Chapter 10 Pull-Push Non-local Means with Guided and Burst Filtering Capabilities
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    Chapter 11 Three Approaches to Improve Denoising Results that Do Not Involve Developing New Denoising Methods
Attention for Chapter 8: Image and Video Noise: An Industry Perspective
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Chapter title
Image and Video Noise: An Industry Perspective
Chapter number 8
Book title
Denoising of Photographic Images and Video
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-96029-6_8
Book ISBNs
978-3-31-996028-9, 978-3-31-996029-6
Authors

Stuart Perry, Perry, Stuart

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