Digital Image Denoising in MATLAB

Автор: literator от 11-06-2024, 14:38, Коментариев: 0


Название: Digital Image Denoising in MATLAB
Автор: Chi-Wah Kok, Wing-Shan Tam
Издательство: Wiley-IEEEPress
Год: 2024
Страниц: 227
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

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.

All discussions are accompanied with a thorough discussion on MATLAB implementation, where source codes are provided and embedded into the text as part of the discussions, and explanation on the difficult mathematics. A unified set of test images is applied throughout the whole book to allow reader to easily appreciate, compare, and observe the pros and cons of various discussed algorithms. The noise model being considered are additive white Gaussian, and Salt and Pepper (Poisson) noise, which are noises commonly found in modern digital camera photos. Their characteristics, generation, and visual appearance will be presented in the first chapter, where the first chapter will also help to warm up the reader by introducing notations being applied in the book, together with some basic MATLAB programming techniques for image processing. It will also present image quality metric and their development in MATLAB, and other mathematical and MATLAB tools that are required in the latter chapters.

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.

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