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024 7 _a10.1007/978-981-99-3750-9
_2doi
050 4 _aTA1637-1638
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082 0 4 _a621.382
_223
100 1 _aHe, Chuan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aParallel Operator Splitting Algorithms with Application to Imaging Inverse Problems
_h[electronic resource] /
_cby Chuan He, Changhua Hu.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aXIII, 199 p. 53 illus., 22 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced and Intelligent Manufacturing in China,
_x2731-5991
505 0 _aIntroduction -- Mathematical Fundamentals -- Ill-poseness of imaging inverse problems and regularization for detail preservation -- Fast parameter estimation in TV-based image restoration -- Parallel alternating derection method of multipliers with application to image restoration -- Parallel primal-dual method with application to image restoration.
520 _aImage 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. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
650 0 _aImage processing.
650 0 _aSignal processing.
650 1 4 _aImage Processing.
650 2 4 _aDigital and Analog Signal Processing.
700 1 _aHu, Changhua.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819937493
776 0 8 _iPrinted edition:
_z9789819937516
776 0 8 _iPrinted edition:
_z9789819937523
830 0 _aAdvanced and Intelligent Manufacturing in China,
_x2731-5991
856 4 0 _uhttps://doi.org/10.1007/978-981-99-3750-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
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