TRAP@NCI

Improvements to JPEG-LS via diagonal edge-based prediction

Edirisinghe, Eran Anusha, Bedi, Satish and Grecos, Christos (2002) Improvements to JPEG-LS via diagonal edge-based prediction. Proceedings of SPIE - The International Society for Optical Engineering, 4671. pp. 604-613. ISSN 0277-786X

Full text not available from this repository.

Abstract

JPEG-LS is the latest pixel based lossless to near lossless still image coding standard introduced by the Joint Photographic Experts Group (JPEG). 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 diagonal edges. In this paper we propose a low complexity, low cost technique that accurately detects diagonal edges and predicts the value of pixels to be encoded based on the gradients available within the standard predictive template of JPEG-LS. We provide experimental results to show that the proposed technique outperforms JPEG-LS in terms of predicted mean squared error, by a margin of up to 8.51%.

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 18:24
Last Modified: 07 Mar 2019 18:24
URI: http://trap.ncirl.ie/id/eprint/3738

Actions (login required)

View Item View Item