By Topic

Estimating Noise Parameter Based on the Wavelet Coefficients Estimation of Original Image

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tianyi Li ; Inst. of Comput. Sci., Sichuan Univ., Chengdu, China ; Minghui Wang ; Tianjian Li

On the basis of Donoho's traditional method, a novel approach is proposed to estimate variance of Gaussian white noise based on the wavelet coefficients estimation of the original image. The approach makes use of the wavelet coefficients estimation of the original image to obtain more pure noise coefficients, then does estimation once again based on the Donoho's formula. Simulation results are presented which indicate that the proposed approach is better than traditional ones, especially in scenarios where there is less noise or much more image details.

Published in:

Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on  (Volume:1 )

Date of Conference:

6-7 March 2010