A proposal for multispectral image compression methods

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 suppresion and KarhunenLoeve 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.