By Topic

Post-filtering of DCT Coded Images Using Fuzzy Blockiness Detector and Linear Interpolation

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)
Hak-Choong Kim ; Chung-Ang Univ., Seoul ; Urhan, O. ; Tae-Gyu Chang

Post-filtering is an effective tool for improvement of encoded image and video quality at low bit-rates. Some consumer electronics devices such as mobile phones apply excessive compression to meet limited bandwidth requirements. Thus, some annoying visual artifacts occur in the decoded image/video. This paper presents a deblocking method based on fuzzy logic to alleviate one of the most common visual artifacts (i.e. blocking) encountered in heavily compressed images. The proposed approach takes intensity difference and variance of pixels at the block boundaries into account in a fuzzy manner to decide amount of blocking effect. Once the proposed approach decides the type of the blockiness, a simple interpolation according to the strength is carried out. Experimental results show the effectiveness of the proposed approach.

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:53 ,  Issue: 3 )