Large aperture static interferential multispectral image compression with motion compensation and region of interest coding

Abstract

To perform better on interferential multispectral image compression, wavelet transform based on motion compensation and region of interest coding and asymmetric zerotree was proposed. According to the movement in the images and the characters of spectrum, the motion compensation and raising coefficients of intensive interference area were used in this wavelet. In this way, the relativity among the spectra is reduced and the intensive interference area coefficients can be coded preferentially. The asymmetric zerotree was proposed due to the unsymmetrical structure of images formed by the wavelet. Experimental results show that with eightfold compression, this algorithm outperforms the three-dimensional set partitioning in hierarchical trees (3DSPIHT) in the range of 0.35–0.49 dB in power signal-to-noise ratio (PSNR) and outperforms the 2DSPIHT in the range of 2.24–2.62 dB in PSNR. Compared to joint picture expert group 2000 (JPEG2000) upscaling method, the effect of intensive interference area is also improved 0.29–0.38 dB in PSNR. Meanwhile, the average of mean square error of spectra within 46 spectrum bands is reduced to 9.69.