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Digital Image Denoising in MATLAB
Series: IEEE Press
Brief Description
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...
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Description
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 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.
- 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.
Series: IEEE Press
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Digital Image Denoising in MATLAB
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...Hardback$25099Unit price /UnavailableAvailableShips in 3-4 weeks -
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Book Details
INFORMATION
ISBN: 9781119617693
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 11 July 2024
Country: United States
Imprint: Wiley-IEEE Press
Audience: Professional and scholarly
DIMENSIONS
Spine width: 18.0mm
Width: 152.0mm
Height: 229.0mm
Weight: 454g
Pages: 224
About the Author
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.
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