Coding Artifact Reduction Based on Local Entropy Analysis

Shao, Ling and Kirenko, Ihor (2007) Coding Artifact Reduction Based on Local Entropy Analysis. IEEE Transactions on Consumer Electronics, 53 (2). pp. 691-696. ISSN 0098-3063

Full text not available from this repository. (Request a copy)
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe...

Abstract

Coding artifacts are very annoying in highly compressed images and video sequences. Most artifact reduction techniques blur the details of the images while removing various coding artifacts. In this paper, we propose a novel and explicit approach for classifying blocks into detailed regions, intermediate regions and smooth regions. The classification is based on the information content of the underlying region. The information content of a region is quantized by local entropy, which is calculated on the PDF of the pixel intensity distribution. Local entropy is used as an indicator of how much smoothing is needed for a certain region. It is well known that blocking artifacts are more visible in flat regions than in detailed regions. We apply mild low-pass filters on detailed regions to preserve the sharpness, and strong low-pass filters on flat regions to remove the severe blocking artifacts. Experimental results show that our proposed algorithm can preserve the details and reduce coding artifacts better than more expensive state of the art techniques.

Item Type: Article
Uncontrolled Keywords: Coding artifact reduction, entropy, blocking artifacts, adaptive filter
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 15 Jun 2015 12:43
Last Modified: 10 Aug 2015 11:32
URI: http://nrl.northumbria.ac.uk/id/eprint/22899

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence