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Denoising of Photographic Images and Video

Overview of attention for book
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 2: Sparsity-Based Denoising of Photographic Images: From Model-Based to Data-Driven
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Sparsity-Based Denoising of Photographic Images: From Model-Based to Data-Driven
Chapter number 2
Book title
Denoising of Photographic Images and Video
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-96029-6_2
Book ISBNs
978-3-31-996028-9, 978-3-31-996029-6
Authors

Xin Li, Weisheng Dong, Guangming Shi, Li, Xin, Dong, Weisheng, Shi, Guangming

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%

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