The utilization of Multispectral sensors technology has become more and more significant in recent decades due to the extensive usage of capturing Multispectral images used in remote sensing applications. This research work explores a different view of investigating lossy multispectral image compression from a perspective of extracting spectral information. It is an exploitation-based lossy compression which further develops spectral/spatial multispectral image compression to preserve the significant spectral information of objects. In this paper, we present a transformed based DWT with Improved SPIHT algorithm for various existing discrete wavelets. The proposed algorithm, a lossy multispectral image compression method yields better performance results for PSNR, MSE, CR, ENTROPY(H), SSIM and CC with sym8 wavelet when compared with previous well-known compression methods and existing discrete wavelets.

Multispectral Images, DWT, ISPIHT, LIBT, LIST

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