This book dissects a very common but important image processing application: digital image denoising. The dissection begins with the most fundamental of digital images, noise sources, and the effect of noise on different image features. A variety of denoising techniques are reviewed, analyzed, and compared in this book to provide the readers with a complete picture of digital image denoising. The book has placed special emphasis on the theory behind each algorithm and how it can be for real world application.      • Excellent explanatory introduction to image denoising methods;     • thorough treatment of the theoretical foundations, with comprehensive analytical analysis of each presented algorithm;     • discussion in detail - including the assumptions and limitations - of each presented algorithm;     • detail devoted to MATLAB® implementation of the presented algorithm;     • coverage of classical denoising methods, and advanced model based denoising methods;     • simulation results are presented for comparative analysis;     • summary of important results obtained in each chapter given at its end; and     • theoretical, analytical, and computational exercises are provided at the end of each chapter. MATLAB code, solution manual, and PPT for lecturing will be provided.