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Proceedings Paper

Improvements to JPEG-LS via diagonal edge-based prediction
Author(s): Eran Anusha Edirisinghe; Satish Bedi; Christos Grecos
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Paper 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%.

Paper Details

Date Published: 4 January 2002
PDF: 10 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453103
Show Author Affiliations
Eran Anusha Edirisinghe, Loughborough Univ. (United Kingdom)
Satish Bedi, Loughborough Univ. (United Kingdom)
Christos Grecos, Loughborough Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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