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Improvements to JPEG-LS via diagonal edge-based prediction

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conference contribution
posted on 19.07.2010 by Eran Edirisinghe, Satish Bedi, Christos Grecos
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 horizontal and/or vertical edges. As a result JPEG-LS produces large prediction enors 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 ofup to 8.5 1%.

History

School

  • Science

Department

  • Computer Science

Citation

EDIRISINGHE, E.A., BEDI, S. and GRECOS, C., 2002. Improvements to JPEG-LS via diagonal edge-based prediction. IN: Kuo, C.-C. J. (ed.) Visual Communications and Image Processing 2002, Proceedings of SPIE, 4671, 604, 11pp.

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© 2002 SPIE

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VoR (Version of Record)

Publication date

2002

Notes

Copyright 2002 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.453103

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en

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