By using kinds of quantization tables, each quantization can work at kinds of rates 一种优秀的比特分配算法可使最终的量化失真达到最小。
A valid method, but because it uses subbands " redundancy, the complexity is so much that the compressing process consumes much time . so the efficiency of wavelet coding depends on bit allocation, that is, definite bits must be allocated to a serial of quantization validly . by using kinds of quantization tables, each quantization can work at kinds of rates 小波变换的图像压缩算法虽然是一种有效的算法,但因为它利用了不同子带间和各个子带内部的相关性,所以复杂度比较高,有时不能实现实时的要求,因而小波变换编码方案的有效性很大程度上依靠比特分配,即给定的比特数必须被有效地分配在不同子带中。
An efficient algorithm is presented for constructing quantization tables of wavelet blocks with optimal bit allocations for a given image . the algorithm uses wavelet coefficient distribution statistics in a novel way, and pays attention to the traits of hvs . a dynamic programming strategy to produce optimal quantization tables over a wide range of bit rates is also adopted 该算法选用正交小波基对图象做小波变换,然后重新组织小波系数成小波块,用一种新的方式统计小波系数分布,并结合hvs的特点,采用动态策略在很大的比特率范围内产生最优的小波块量化矩阵。
An efficient algorithm is presented for constructing quantization tables of wavelet blocks with optimal bit allocations for a given image . the algorithm uses wavelet coefficient distribution statistics in a novel way, and pays attention to the traits of hvs . a dynamic programming strategy to produce optimal quantization tables over a wide range of bit rates is also adopted 该算法选用正交小波基对图象做小波变换,然后重新组织小波系数成小波块,用一种新的方式统计小波系数分布,并结合hvs的特点,采用动态策略在很大的比特率范围内产生最优的小波块量化矩阵。