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

Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
718.97
Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing recons...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2023
strony
216
EAN
9789819937493
Enbook ID
43438839
Waga
480
Wymiary
155 x 235

Pełny opis

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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