Real time multi spectral image compression for high resolution imageries through super resolution algorithm with DWT-ISPIHT

This paper explores the effective compression method for multispectral images. As we know that in recent years, the use of multispectral images has become more and more popular due to the current development of multispectral sensors technology. This paper takes a rather different view by investigating lossy multispectral compression from a perspective of exploring spectral information, referred to as exploitation-based lossy compression and further develops spectral / spatial multispectral image compression to effectively preserve crucial and vital spectral information of objects. In this paper, we present a novel algorithm as lossy compression scheme for multispectral images, which is extension to an existing lossy compression algorithm. The proposed algorithm, based on Super Resolution image with Discrete Wavelet Transform (DWT) and Improved SPHIT exploits both the spectral and spatial information in the images and reduce time for processing. This has been designed with the single goal of optimizing it for maximum coding efficiency, good PSNR and high compression ratio for bit per pixel per band and compares the results with the well-known compression method.