Component ratio preserving compression for remote sensing applications

Ismail Avcibas; Bulent Sankur; Khalid Sayood; Nasir D. Memon

doi:10.1117/12.383006

19 April 2000 Component ratio preserving compression for remote sensing applications

Ismail Avcibas, Bulent Sankur, Khalid Sayood, Nasir D. Memon

Proceedings Volume 3974, Image and Video Communications and Processing 2000; (2000) https://doi.org/10.1117/12.383006
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

This paper presents a new distortion measure for multi-band image vector quantization. The distortion measure penalizes the deviation in the ratios of the components. We design a VQ coder for the proposed ratio distortion measure. We then give experimental results that demonstrate that the new VQ coder yields better component ratio preservation than conventional techniques. For sample images, the proposed scheme outperforms SPIHT, JPEG and conventional VQ in color ratio preservation.

Citation Download Citation

Ismail Avcibas, Bulent Sankur, Khalid Sayood, and Nasir D. Memon "Component ratio preserving compression for remote sensing applications", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383006

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