Digital Image Denoising in MATLAB

Digital Image Denoising in MATLAB by Chi-Wah Kok & Wing-Shan Tam


Authors
Chi-Wah Kok &
Wing-Shan Tam
ISBN
9781119617693
Published
Binding
Hardcover
Pages
208
Dimensions
1520 x 2290mm

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.
Christmas Catalogue 2024 x BookFrenzy
185.26
RRP: $217.95
15% off RRP



Instore Price: $217.95
Enter your Postcode or Suburb to view availability and delivery times.
If ordered before the 3rd of December, this product should arrive by Christmas unless it is going to regional Australia

RRP refers to the Recommended Retail Price as set out by the original publisher at time of release.
The RRP set by overseas publishers may vary to those set by local publishers due to exchange rates and shipping costs.
Due to our competitive pricing, we may have not sold all products at their original RRP.