OPTIMAL WAVELET FILTER DESIGN FOR REMOTE SENSING IMAGE COMPRESSION  

作　　者：Yang Guoan Zheng Nanning Guo Shugang 

机构地区：[1]Institute of Artificial Intelligence and Robotics, Xi＇an Jiaotong University, Xi＇an 710049, China

出　　处：《Journal of Electronics(China)》2007年第2期276-284,共9页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60021302, No.60635050 and No.60405004).

摘　　要：A new approach for designing the Biorthogonal Wavelet Filter Bank (BWFB) for the purpose of image compression is presented in this letter. The approach is decomposed into two steps. First, an optimal filter bank is designed in theoretical sense based on Vaidyanathan’s coding gain criterion in SubBand Coding (SBC) system. Then the above filter bank is optimized based on the criterion of Peak Signal-to-Noise Ratio (PSNR) in JPEG2000 image compression system, resulting in a BWFB in practical application sense. With the approach, a series of BWFB for a specific class of applications related to image compression, such as remote sensing images, can be fast designed. Here, new 5/3 BWFB and 9/7 BWFB are presented based on the above approach for the remote sensing image compression applications. Experiments show that the two filter banks are equally performed with respect to CDF 9/7 and LT 5/3 filter in JPEG2000 standard; at the same time, the coefficients and the lifting parameters of the lifting scheme are all rational, which bring the computational advantage, and the ease for VLSI implementation.A new approach for designing the Biorthogonal Wavelet Filter Bank （BWFB） for the purpose of image compression is presented in this letter. The approach is decomposed into two steps. First, an optimal filter bank is designed in theoretical sense based on Vaidyanathan＇s coding gain criterion in SubBand Coding （SBC） system. Then the above filter bank is optimized based on the criterion of Peak Signal-to-Noise Ratio （PSNR） in JPEG2000 image compression system, resulting in a BWFB in practical application sense. With the approach, a series of BWFB for a specific class of applications related to image compression, such as remote sensing images, can be fast designed. Here, new 5/3 BWFB and 9/7 BWFB are presented based on the above approach for the remote sensing image compression applications. Experiments show that the two filter banks are equally performed with respect to CDF 9/7 and LT 5/3 filter in JPEG2000 standard; at the same time, the coefficients and the lifting parameters of the lifting scheme are all rational, which bring the computational advantage, and the ease for VLSI implementation.

关 键 词：Wavelet filter OPTIMIZATION Coding gain Remote sensing image JPEG2000 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]