Proposal for multispectral image compression methods

Aniati Murni; Sani Muhamad Isa; Febriliyan Samopa

doi:10.1117/12.442926

26 September 2001 Proposal for multispectral image compression methods

Aniati Murni, Sani Muhamad Isa, Febriliyan Samopa

Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442926
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

This paper has proposed two image compression and decompression schemes for multispectral images. Two issues were considered in the proposed methods. The first issue is the possibility of applying the compression process directly to a set of multispectral images, where the standard JPEG should be applied to each individual image. Considering this issue, a compression and decompression method is proposed based on a hybrid of lower bit suppression and Karhunen-Loeve transform and named as KLT Hybrid. The second issue is the possibility of obtaining a general codebook for a bulky of typical data such as a set of hyperspectral images. Considering this issue, another compression and decompression method is proposed based on vector quantization (VQ) where the general codebook is obtained by a proposed fair-share amount method. Four performance indicators were used to evaluate the results. The indicators include compression ratio, root mean square error, maximum absolute error, and signal to noise ratio. The experimental results have shown good performance indication of both methods.

Citation Download Citation

Aniati Murni, Sani Muhamad Isa, and Febriliyan Samopa "Proposal for multispectral image compression methods", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442926

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KEYWORDS

Image compression

Multispectral imaging

Image processing

Quantization

Signal to noise ratio

Data communications

Earth observing sensors

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