摘要
提出了一种基于小波变换的结构矩阵矢量量化方法。该方法利用图像经过小波变换后，不同分辨率级子图像之间存在相似性，将已生成的第ｍ级图像的分类信息传递给第ｍ－１级图像，并利用各子图像的结构特性，对矢量量化后的编码结果采用结构矩阵的方法进一步压缩。实验表明该方法在较好图像质量的情况下获得了高压缩比，和有关文献给出的结果进行比较，该算法具有较好的性能。
In this paper, a structure matrix vector quantization algorithm based on wavelet transform is proposed. After the multiresolution pyramidal decomposition of wavelet transform, the similarity among the wavelet coefficients of subbands is obtained, and transmit the dividing information of the subband m to the subband m-1. After classifying vector quantization,the results are more compressed by structure matrix based on the structure specialty of the subbands Experiments show that the algorithm performs better than others in the aspects of high compression ratio and high image quantization.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2000年第5期479-482,共4页
Journal of University of Electronic Science and Technology of China
基金
电子部预研基金
关键词
小波变换
矢量量化
结构矩阵
图像压缩
wavelet transform
vector quantization
structure matrix
adaptive arithmetic coding
