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《Spectroscopy and Spectral Analysis》 2013-03
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A Compression Algorithm for Multi-Spectral TDICCD Image

LIU Yan-yan1,3,GAO Yin-han2,LI Jin4,JIN Long-xu4,HAN Shuang-li4,LI Guo-ning4 1.College of Instrumentation and Electrical Engineering,Jilin University,Changchun 130061,China 2.State Key Laboratory of Automobile Simulation and Control,Jilin University,Changchun 130022,China 3.School of Electronic and Information Engineering,Changchun University of Science and Technology,Changchun 130022,China 4.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China  
In order to solve the problem of edge and texture blurring of multi-spectral image caused by the wavelet transform and bit-plane encoder of traditional method not taking into account image characteristics,a compression algorithm of multi-spectral TDICCD image having few bands is proposed in the present paper.The proposed direction-adaptive lifting DWT can adaptively choose the best lifting direction and use the Lagrange interpolation technique to make prediction according to its local characteristics.This method makes good use of the image texture features.The proposed rate control algorithm can adaptively allocate the rate bits according to image content.The experiments results showed that the proposed compression algorithm has good compressive property.Compared with traditional approaches,the performance of our method corresponds to the conventional approach for smooth images.However,it was superior to others for images with rich texture and a large number of edge detail information.In the compression ration 4∶1,the average peak signal to noise ratio of the proposed compression algorithm could improve the average PSNR by 1.939 dB.They effectively protect the edge and texture detail information for multi-spectral image.It is very suitable for the application of space multi-spectral CCD image with rich texture and a large number of edge detail information.
【Fund】: 国家(863)高技术研究发展计划项目(863-2-5-1-13B)资助
【CateGory Index】: TP391.41
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