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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

He, Chuan
Hu, Changhua

Hardcover

Series: Advanced and Intelligent Manufacturing in China

Technology & EngineeringGeneral Computers

ISBN10: 9819937493
ISBN13: 9789819937493
Publisher: Springer
Published: Aug 29 2023
Pages: 199
Weight: 1.06
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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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