A lossy compression algorithm of remote sensing image suited to space-borne application
Baofeng Tian, XU Shu-yan, Xin Wang, Yan De-jie · Optics and Precision Engineering · 2006
A high quality lossy compression algorithm of remote sensing image was presented.After decomposition of the remote sensing image by D5/3 integer wavelet transform and analysis of the statistical characteristic and the energy distribution of wavelet coefficients in each sub-band, the human vision properties are introduced to control the quantification scheme of the algorithm.The important degree for target recognition is determined according to energy in each sub-band,and the different quantification threshold values and the quantification steps are chosen in the quantification.Finally,quantified data are coded in fixed bit-plane.The simulation experiment shows that this algorithm acquires the restoration images of PSNR(Peak Signal Noise Radio)30 dB for all images of different contents and texture with certain CR,which keeps much high frequency information of the remote sensing image to realize the high quality image compression.Because of its simplicity,fastness,and small storage,the algorithm is easy to be realized in hardware and suitable for space-borne application.