根据MPEG-4静态纹理编码工具中所定义的解码过程,建立了与标准相容的静态纹理编解码框架,然后从零树符号的信息含义及其与编码层目标图像的一致性出发,研究MPEG-4 VTC工具中位平面模式编码的改进问题,提出一种基于符号分解的预测性嵌入式小波零树编码方法,并用SP-PEZW方法对彩色参考图像Lena进行了压缩和解码实验研究.实验表明,SP-PEZW方法在低比特率编码层上比PEZW有更好的压缩效率,同时对高分辨率编码层压缩比并无大的影响,甚至在高分辨率空间层以指定码率解码时图像质量略有提高.

According to the coding process of MPEG-4 VCT,coding-decoding frame of VTC consistent with standard of MPEG-4 is presented. The problem of scalable MPEG-4 VCT BQ image coding is investigated from the viewpoint of consistency of zerotree symbol with the objective image of bit-stream layer. An improved PEZW algorithm, SP-PEZW is presented. The experiment of the color Lena image is researched applying to SP-PEZW. Experiment results show that PEZW algorithm comparing with the bitrate of low resolution bitstream layers of SP-PEZW algorithm is lower, while bitrate of the highest resolution bitstream layer is the same, and image of the highest resolution spatial layer which is decoded at the special bitrate is better.