{"title":"Chi-Wah Kok","description":"\u003cp\u003eChi-Wah Kok specialises in authoritative texts within \u003cstrong\u003eEngineering \u0026amp; Technology\u003c\/strong\u003e, with a particular focus on practical applications of digital image processing and MATLAB programming. Readers can expect clear, technical guidance on noise reduction and image enhancement techniques tailored for both students and professionals.\u003c\/p\u003e\n\n\u003cp\u003eThrough a combination of in-depth theory and hands-on examples, these works provide valuable insights for those engaged in digital signal processing and computational imaging. Kok’s books serve as a resource for mastering complex concepts with approachable explanations and focused content.\u003c\/p\u003e","products":[{"product_id":"digital-image-denoising-in-matlab-by-wing-shan-tam-9781119617693","title":"Digital Image Denoising in MATLAB","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cstrong\u003ePresents a review of image denoising algorithms with practical MATLAB implementation guidance\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eDigital Image Denoising in MATLAB\u003c\/em\u003e 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.\u003c\/p\u003e\n\n\u003cp\u003eThe 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 optimisation 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.\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eExplains how the quality of an image can be quantified in MATLAB\u003c\/li\u003e\n    \u003cli\u003eDiscusses what constitutes a “naturally looking” image in subjective and analytical terms\u003c\/li\u003e\n    \u003cli\u003ePresents denoising techniques for a wide range of digital image processing applications\u003c\/li\u003e\n    \u003cli\u003eDescribes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis\u003c\/li\u003e\n    \u003cli\u003eRequires only a fundamental knowledge of digital signal processing\u003c\/li\u003e\n    \u003cli\u003eIncludes access to a companion website with source codes, exercises, and additional resources\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cem\u003eDigital Image Denoising in MATLAB\u003c\/em\u003e 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.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47462842925292,"sku":"9781119617693","price":250.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781119617693-digital-image-denoising-in-matlab.jpg?v=1775024232"}],"url":"https:\/\/bookhero.co.nz\/collections\/chi-wah-kok.oembed","provider":"Book Hero","version":"1.0","type":"link"}