Presents 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.
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Chi-Wah Kok is the Founder and Executive Director of Canaan Semiconductor Pty Ltd, South Australia, Australia. He has worked with leading semiconductor companies, multimedia signal processing companies, research institutions, and universities including AT&T Labs Research, SONY Research Labs, Stanford University, and Hong Kong University of Science and Technology. Dr. Kok’s research interests include the application of signal processing methods in multimedia signal processing problems, solid state circuit design and modeling problems, and other real world problems.
Wing-Shan Tam is the Founder and Engineering Manager of Canaan Semiconductor Pty Ltd, South Australia, Australia, where she works on advanced CMOS sensor design and high-power device structure and process development. Dr Tam’s research interests include mixed-signal integrated circuit design and image interpolation and color enhancement algorithm development.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Codice articolo mon0003605088
Quantità: 2 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Presents 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781119617693
Quantità: 1 disponibili
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Condizione: new. Codice articolo NYRKPZM2MA
Quantità: Più di 20 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP. Codice articolo 26398662815
Quantità: 4 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 35441188-n
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo FW-9781119617693
Quantità: 15 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 397714240
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18398662805
Quantità: 4 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 35441188
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781119617693_new
Quantità: Più di 20 disponibili