By Topic

Deblocking of compressed images based on all phase biorthogonal transform using noise injection followed by image denoising

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)
Cheng-You Wang ; Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin ; Zheng-Xin Hou ; Sai-Yuan Zhao

Block-based transform coding is the most popular image compression method. However, when image is highly compressed at low bit rate, noticeable blocking artifacts produce in the decoded images. Various techniques have been proposed for the reduction of blocking artifacts. This paper presents a new deblocking algorithm based on the all phase biorthogonal transform using noise injection followed by image denoising for further performance improvement. Experimental results show that better performance is achieved than the conventional algorithm in terms of PSNR and visual quality due to blocking artifacts have been reduced greatly.

Published in:

Signal Processing, 2008. ICSP 2008. 9th International Conference on

Date of Conference:

26-29 Oct. 2008