Denoising of Photographic Images and Video: Fundamentals, Open Challenges and New Trends (Advances in Computer Vision and Pattern Recognition) - Hardcover

Hardcover

ISBN 10: 3319960288 ISBN 13: 9783319960289

Publisher: Springer, 2018

Synopsis

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, how to tailor denoising algorithms to these models, and how to evaluate the results in a way that is consistent with perceived image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical perspectives to state-of-the-art algorithms, and from fast real-time techniques that can be implemented in-camera to powerful and computationally intensive methods for off-line processing.

Topics and features: describes the basic methods for the analysis of signal-dependent and correlated noise, and the key concepts underlying sparsity-based image denoising algorithms; reviews the most successful variational approaches for image reconstruction, and introduces convolutional neural network-based denoising methods; provides an overview of the use of Gaussian priors for patch-based image denoising, and examines the potential of internal denoising; discusses selection and estimation strategies for patch-based video denoising, and explores how noise enters the imaging pipeline; surveys the properties of real camera noise, and outlines a fast approximation of nonlocal means filtering; proposes routes to improving denoising results via indirectly denoising a transform of the image, considering the right noise model and taking into account the perceived quality of the outputs.

This concise and clearly written volume will be of great value to researchers and professionals working in image processing and computer vision. The book will also serve as an accessible reference for advanced undergraduate and graduate students in computer science, applied mathematics, and related fields.

"The relentless quest for higher image resolution, greater ISO sensitivity, faster frame rates and smaller imaging sensors in digital imaging and videography has demanded unprecedented innovation and improvement in noise reduction technologies. This book provides a comprehensive treatment of all aspects of image noise including noise modelling, state of the art noise reduction technologies and visual perception and quantitative evaluation of noise.”

Geoff Woolfe, Former President of The Society for Imaging Science and Technology.

 

"This book on denoising of photographic images and video  is the most  comprehensive and up-to-date  account of this deep and classic problem of  image  processing.  The progress  on  its  solution is being spectacular.  This volume therefore  is a must  read for all engineers  and researchers concerned with image  and video quality."

Jean-Michel Morel, Professor at Ecole Normale Supérieure de Cachan, France.

About this title

About the Author

Marcelo Bertalmío is a Professor in the Department of Information and Communication Technologies at Universitat Pompeu Fabra, Barcelona, Spain.

From the Back Cover

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, how to tailor denoising algorithms to these models, and how to evaluate the results in a way that is consistent with perceived image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical perspectives to state-of-the-art algorithms, and from fast real-time techniques that can be implemented in-camera to powerful and computationally intensive methods for off-line processing.

Topics and features:

• Describes the basic methods for the analysis of signal-dependent and correlated noise, and the key concepts underlying sparsity-based image denoising algorithms
• Reviews the most successful variational approaches for image reconstruction, and introduces convolutional neural network-based denoising methods
• Provides an overview of the use of Gaussian priors for patch-based image denoising, and examines the potential of internal denoising
• Discusses selection and estimation strategies for patch-based video denoising, and explores how noise enters the imaging pipeline
• Surveys the properties of real camera noise, and outlines a fast approximation of nonlocal means filtering
• Proposes routes to improving denoising results via indirectly denoising a transform of the image, considering the right noise model and taking into account the perceived quality of the outputs

This concise and clearly written volume will be of great value to researchers and professionals working in image processing and computer vision. The book will also serve as an accessible reference for advanced undergraduate and graduate students in computer science, appliedmathematics, and related fields.

Marcelo Bertalmío is a Professor in the Department of Information and Communication Technologies at Universitat Pompeu Fabra, Barcelona, Spain.

Edition details

• Publisher: Springer
• Publication date: 2018
• Language: English
• ISBN 10: 3319960288
• ISBN 13: 9783319960289
• Binding: Hardcover
• Edition number: 1
• Number of pages: 347
• Editor: Bertalmío Marcelo