A survey Paper on Image Denoising Techniques

Shruti Bhargava; Dr. Ajay Somkuwar; Mini Gupta

Removing noise from the original image is still a challenging problem for researchers. Noise added is not easy to remove from the images. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. This paper presents a review of some significant work in the area of image denoising and finds the one is better for image denoising. After a brief introduction, some popular approaches are classified into different groups and from the introduction we can conclude that the ICA technique is the best technique for image denoising.

Select Volume / Issues:

• Volume 3 Issue 3, May 2012

Year:

2012

Type of Publication:

Article

Keywords:

wavelet; PCA; Adaptive PCA; ICA

Journal:

IJECCE

Volume:

3

Number:

3

Pages:

519-521

Month:

May