基于残差图像的ROI编码研究

与JPEG2000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对小波变换（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。

ROI Coding Research Based on Residual Image

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.