By Topic

A Novel Noise Reduction Algorithm Based on Direction Correlation

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

2 Author(s)
Shufang Zhang ; Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China ; Yaxin Liu

There is strong spatial correlation among the adjacent pixels in the image feature area whereas no significant sample correlation exists in the noisy area. Therefore, this paper proposes a novel noise reduction algorithm based on direction correlation of pixels in 8 times 8 block. In the method, four direction gradient values are computed respectively for the block and the orientation correlation characteristic is confirmed according to the maximal and minimum gradient values. Then, we select different templates to filter the block for the different orientation feature. The experimental results show that this method can remove the image noise effectively with low computational complexity, and preserve the original image information simultaneously.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009