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Denoising of Photographic Images and Video

Overview of attention for book
Denoising of Photographic Images and Video
Springer International Publishing

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 10: Pull-Push Non-local Means with Guided and Burst Filtering Capabilities
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Summary
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Chapter title
Pull-Push Non-local Means with Guided and Burst Filtering Capabilities
Chapter number 10
Book title
Denoising of Photographic Images and Video
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-96029-6_10
Book ISBNs
978-3-31-996028-9, 978-3-31-996029-6
Authors

John R. Isidoro, Peyman Milanfar, Isidoro, John R., Milanfar, Peyman

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Medicine and Dentistry 1 50%

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