1 February 2002 Towards an improvement on prediction accuracy in JPEG-LS
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Among a context of three pixels, the present JPEG-LS produces predicted values based on whether a vertical edge or a horizontal edge is detected. When a diagonal edge exists, however, experiments and observation reveal that such a prediction will generate large predictive errors. By applying the triangle inequality to the analysis of predictive templates in JpEG-LS, we propose a diagonal-edge detection scheme to reduce the predictive error and hence provide an improvement on the prediction accuracy. Experiments are carried out to test the proposed scheme for a group of sample images. In comparison with the current JPEG-LS prediction, our scheme produces lower prediction errors, in terms of both MSE measurement and visual comparison of error images.
©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jianmin Jiang and Christos Grecos "Towards an improvement on prediction accuracy in JPEG-LS," Optical Engineering 41(2), (1 February 2002). https://doi.org/10.1117/1.1428743
Published: 1 February 2002
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Cited by 12 scholarly publications and 2 patents.
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KEYWORDS
Edge detection

Error analysis

Image compression

Visualization

Statistical analysis

Image quality standards

Optical engineering

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