Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

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Synopsis

Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing reconstruction have important application value in engineering practice, and they are also the hot frontiers in the field of image processing. This book focuses on the numerical analysis of ill condition of imaging inverse problems and the methods of solving imaging inverse problems based on operator splitting. Both algorithmic theory and numerical experiments have been addressed. The book is divided into six chapters, including preparatory knowledge, ill-condition numerical analysis and regularization method of imaging inverse problems, adaptive regularization parameter estimation, and parallel solution methods of imaging inverse problem based on operator splitting. Although the research methods in this book take image denoising, deblurring, inpainting, and compressed sensing reconstruction as examples, they can also be extended to image processing problems such as image segmentation, hyperspectral decomposition, and image compression. This book can benefit teachers and graduate students in colleges and universities, or be used as a reference for self-study or further study of image processing technology engineers.

Book details

Edition:
1st ed. 2023
Series:
Advanced and Intelligent Manufacturing in China
Author:
Chuan He, Changhua Hu
ISBN:
9789819937509
Related ISBNs:
9789819937493
Publisher:
Springer Nature Singapore
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2023-09-28
Usage restrictions:
Copyright
Copyright date:
2023
Copyright by:
Chemical Industry Press 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction, Technology