基于残差图像的ROI编码研究  

ROI Coding Research Based on Residual Image

作　　者：张立保[1] 赵铭[2] 

机构地区：[1]吉林大学通信工程学院,吉林长春130025 [2]空军第二航空学院,长春130022

出　　处：《光电子．激光》2003年第1期75-78,共4页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金资助项目 (5 963 82 2 0 )

摘　　要：与 JPEG2 0 0 0中的 MAXSHIFT算法不同 ,本文将 ROI编码与零树编码结合 ,给出一种基于残差图像的 ROI编码算法 RZ (residue zerotree)。RZ算法基于整数小波变换 ,对高压缩比下零树编码后 ROI区域的残差图像作基于整数平方量化阈值的零树编码 ,并将所得残差数据熵编码后跟随原编码数据传输 ,可以实现 ROI区域的有损或无损编码。实验结果表明 ,RZ算法实现了基于嵌入式零树小波变换(EZW)框架较低复杂度的 ROI编码 ,可应用于基于网络的图像传输。Unlike MAXSHIFT algorithm of JPEG2000,by combining coding and embedded zerotree wavelet(EZW),a novel regions of interest(ROI) algorithm based on residue image called RZ was presented in this paper.The RZ algorithm is based on integer wavelet transform(IWT).The residue image of ROI based on high compressionm ratio EZW is coded by embedded zerotree coding based on integer square quantization threshold.The entropy coding was given to the residue data and the result was transmitted after original coding data.This algorithm can realize the lossless or near lossless ROI coding.The experiment results demonstrate RZ algorithm realizes ROI coding of low complication based on EZW framework and is applied to image transmission based on net.

关 键 词：零树编码 ROI编码 残差图像 整数平方阈值 JPEG2000 RZ编码 

分 类 号：TN919.81[电子电信—通信与信息系统]