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Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

Name: Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems
Brand: Springer, Berlin
SKU: 9789819937493
Price: 3882 CZK
Availability: InStock

Autor: Chuan He, Changhua Hu

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 882 Kč

Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing recons...

Informace o knize

Autor

Chuan He, Changhua Hu

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

216

EAN

9789819937493

Enbook ID

43438839

Vydavatel

Springer, Berlin

Hmotnost

480

Rozměry

155 x 235

Kompletní popis

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.

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Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

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