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International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)

Published By: MECS Press

IJIGSP Vol.2, No.1, Nov. 2010

Adaptive Remote Sensing Texture Compression on GPU

Full Text (PDF, 580KB), PP.46-52


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Author(s)

Xiao-Xia Lu,Si-Kun Li

Index Terms

Texture compression; self-adaptive; Human Visual System; vector quantizer; GPU

Abstract

Considering the properties of remote sensing texture such as strong randomness and weak local correlation, a novel adaptive compression method based on vector quantizer is presented and implemented on GPU. Utilizing the property of Human Visual System (HVS), a new similarity measurement function is designed instead of using Euclid distance. Correlated threshold between blocks can be obtained adaptively according to the property of different images without artificial auxiliary. Furthermore, a self-adaptive threshold adjustment during the compression is designed to improve the reconstruct quality. Experiments show that the method can handle various resolution images adaptively. It can achieve satisfied compression rate and reconstruct quality at the same time. Index is coded to further increase the compression rate. The coding way is designed to guarantee accessing the index randomly too. Furthermore, the compression and decompression process is speed up with the usage of GPU, on account of their parallelism.

Cite This Paper

Xiao-Xia Lu,Si-Kun Li, "Adaptive Remote Sensing Texture Compression on GPU", IJIGSP, vol.2, no.1, pp.46-52, 2010.

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