小波变换传递误差、尺度、加权量化对分层树剖分编码图象压缩质量影响的研究

详细研究了小波变换传递误差、尺度、快速Mallat算法加权量化对分层树剖分(SPIHT)编码图象压缩质量的影响,并给出了基于VC++的仿真结果,结果表明,小波变换尺度对图象压缩编码效果有明显的影响,通常要在大于4的尺度上作图象压缩编码才可以得到较好的压缩效果,不同的边界延拓,不同尺度的取整重构、加权量化对图象压缩效果的影响是不同的,恰当选取加权量化步长能达到更好的图象压缩效果,一般而言,同一尺度下随加权量化步长的增加,压缩效果变差.

PERFORMANCE OF "BINARY-UNCODED"ARITHMETIC WITH WAVELET TRANSFER FIELD SCALE,TRANSFER ERROR,WEIGHT QUANTIFICATION

It was discussed transfer error and scaling of the wavelet transfer,the effect of fast Mallat arithmetic weight quantification to the performance of the SPIHT arithmetic.And the emulation result based on VC++ has been put forward.The result indicated the influence of wavelet transfer scale is obvious to the image compression coding.In General,the compression result is better only when the scale of the coding of image compress is greater than 4,and the influence of weight quantify to transfer error depend on the border extend and the integral structure.The correctly selected step of weight quantification will make for a better result of image compress.Generally,in the condition of same scale,the compress result will be bad when the step of weight quantification increased gradually.The experiment results have a tutor meaning and reference value.