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

Distortion

Remote sensing

Image processing

Quantization

Image analysis

Image classification

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