VDM Verlag Dr. Mueller E.K.
Image Denoising Using Wavelet Transforms
Product Code:
9783836439183
ISBN13:
9783836439183
Condition:
New
$53.25
Image Denoising Using Wavelet Transforms
$53.25
Image denoising is a process to restore a noisy image so that the other system (or human) can understand it better. Since denoising is a challenging ill-posed problem, it has attracted many researchers. In this book, we discuss some efficient approaches for image denoising using wavelet transforms. For the last decade, wavelet-based approaches have been studied widely due to its superb performance and nice properties such as multiresolution and energy compaction. The book contains mainly following contents: First, some important wavelet transforms for image denoising are described. Second, a review on various denoising algorithms will help readers understand the trend. Some efficient algorithms take account into spatial and scale dependency in the wavelet domain or statistical modeling with Bayesian approach. The experimental results on various wavelet-based algorithms are also analyzed. Wavelet-based methods produce comparatively higher signal to noise ratio and less visual artifact than other methods. The book is addressed to students, graduates, professionals, and researchers who are interested in image processing.
| Author: Dongwook Cho |
| Publisher: VDM Verlag Dr. Mueller E.K. |
| Publication Date: Apr 29, 2008 |
| Number of Pages: 100 pages |
| Binding: Paperback or Softback |
| ISBN-10: 3836439182 |
| ISBN-13: 9783836439183 |
Related Products
Sale 3%
Sale 2%
Independently Published
Image Denoising, Edge Detection, and Segmentation with Tkinter
$39.99
$39.06
Sale 8%
