Multispectral satellite image compression based on multimode linear prediction

Wen-Nung Lie; Chun-Hung Chen; Chi-Fa Chen

doi:10.1117/12.386686

30 May 2000 Multispectral satellite image compression based on multimode linear prediction

Wen-Nung Lie, Chun-Hung Chen, Chi-Fa Chen

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386686
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

In this paper, we propose a multi-mode linear prediction (MM_LP) scheme for the compression of multi-spectral satellite images. This scheme, extending our prior work on block-based single mode linear prediction, discards the prediction residuals and transforms the traditional residual-encoding problem into another mode-map encoding problem. The increase in the extra storage for more coefficients is nearly negligible and the compression of mode-map might be expected to have a higher efficiency than the residuals can achieve. We also propose an alternative scheme to hide the mode information in the LSB (least significant bit) of the residual data, which are then encoded to give a nearly lossless compression with PSNR larger than 51 dB (error variance (sigma) ² equals 0.5/per pixel). Comprehensive experiments justify performance of our MM_LP schemes and recommend that MM_LP (k >= 2) is suitable for PSNR less than 41.5 dB; single-mode LP (k equals 1) is for PSNR between 41.5 dB and 50 dB, while 2-mode mode- embedding approach is for PSNR > 50 dB.

Citation Download Citation

Wen-Nung Lie, Chun-Hung Chen, and Chi-Fa Chen "Multispectral satellite image compression based on multimode linear prediction", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386686

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