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Könyv Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems Chuan He

Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

Szerző: Chuan He, Changhua Hu
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
65 370 Ft
Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing recons...

Információk a könyvről

Szerző
Chuan He, Changhua Hu
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2023
oldal
216
EAN
9789819937493
Enbook ID
43438839
Kiadó
Springer, Berlin
Súly
480
Méretek
155 x 235

Teljes leírás

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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