Based on the analyses of the interferential multispectral imagery(IMI), a new compression algorithm based on
distributed source coding is proposed. There are apparent push motions between the IMI sequences, the relative shift
between two images is detected by the block match algorithm at the encoder. Our algorithm estimates the rate of
each bitplane with the estimated side information frame. then our algorithm adopts a ROI coding algorithm, in which
the rate-distortion lifting procedure is carried out in rate allocation stage. Using our algorithm, the FBC can be
removed from the traditional scheme. The compression algorithm developed in the paper can obtain up to 3dB's gain
comparing with JPEG2000 and significantly reduce the complexity and storage consumption comparing with
3D-SPIHT at the cost of slight degrade in PSNR.
An innovative VLSI architecture for JPEG-LS compression algorithm is proposed, which
implements real-time image compression either in near lossless mode or in lossless mode. The
proposed architecture mainly includes four parallel pipelines, in which four pixels from four
continuous lines could be processed simultaneously with a specific coding scan sequence, which
ensures low complexity and real-time data processing. Our VLSI architecture is implemented on a
Xilinx XC2VP30 FPGA. The experiment results show that our hardware system has the same results in
image quality and compression rate as the standard JPEG-LS method and the processing speed of our
system is four times more than that of traditional method.