TRAP@NCI

Two low cost algorithms for improved diagonal edge detection in JPEG-LS

Grecos, Christos, Jiang, Jianmin and Edirisinghe, Eran A. (2001) Two low cost algorithms for improved diagonal edge detection in JPEG-LS. IEEE Transactions on Consumer Electronics, 47 (3). pp. 466-473. ISSN 1558-4127

Full text not available from this repository.

Abstract

JPEG-LS is the latest lossless and near lossless image compression standard introduced by the Joint Photographic Experts Group (JPEG) in 1999. In this standard simple localized edge detection techniques are used in order to determine the predictive value of each pixel. These edge detection techniques only detect horizontal and vertical edges and the corresponding predictors have only been optimized for the accurate prediction of pixels in the locality of horizontal and/or vertical edges. As a result JPEG-LS produces large prediction errors in the locality of diagonal edges. We present two low cost algorithms for the detection and prediction of diagonal edge pixels in JPEG-LS. Experimental results show that the proposed schemes aid in the reduction of predictive mean squared error of up to 2-3 percent as compared to the standard.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
Divisions: School of Computing > Staff Research and Publications
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 07 Mar 2019 18:30
Last Modified: 07 Mar 2019 18:30
URI: http://trap.ncirl.ie/id/eprint/3739

Actions (login required)

View Item View Item