03574nam a22003734u 450000100220000000300060002200500170002800700150004500800410006002000300010102400310013104100080016210000240017024500930019425000060028726000160029326400160030930000120032533600260033733700260036333800360038934700210042534700080044652020340045465000310248865000220251965000340254165302550257570000260283077600360285685600640289285601020295685601420305810.1002/9781119617778Wiley20251030120305.0cr nn 008mam|a240607t2024||||xxu    fs|   |0|| 0|eng||  a9781119617778qelectronic7 a10.1002/97811196177782doi  aeng1 aKok, Chi‐Wah4aut10aDigital Image Denoising in MATLABh[electronic resource]cChi‐Wah Kok, Wing‐Shan Tam  a1  bWileyc2024 1bWileyc2024  a224pp.;  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext file2rdaft  bPDF  aPresents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a "naturally looking" image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques. 4aImage and Video Processing 4aSignal Processing 4aDigital Cameras & Photography00adigital image denoising; digital image denoising MATLAB; digital image denoising algorithms; digital image denoising photo enhancement; digital image denoising techniques; digital image denoising MATLAB source code; digital image denoising processing1 aTam, Wing‐Shan4aut08iPrinted edition:z978111961769340uhttps://doi.org/10.1002/9781119617778aWiley Online Library40uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119617778aWiley Online Library423Cover Imageuhttps://onlinelibrary.wiley.com/cms/asset/c25b24e7-5c7a-4511-b1de-12950ef81a37/9781119617778.cover.gifaWiley Online Library