基于整型零树小波变换的编码研究与应用

结合嵌入式零树小波(EZW)系数的统计特性，提出了整型零树小波变换算法，该算法通过计算小波变换的整数可逆矩阵分解，得到可以整数实现的可逆矩阵变换；再利用得到的分解矩阵依次对图像样本进行变换；最终将变换得到的系数用EZW进行编码，实验结果表明，整型零树小波在低比特率下明显优于其他压缩编码，使变换后的图像数据能够保持原图像在各种分辨率下的精细结构，在编解码过程中，可根据需要随时停止编解码过程，得到不同精度和不同码率的恢复图像，适合并行实时处理。

Application of the coding based on the transform of the integer zero tree wavelet

Combined with the statistical property of EZW, the algorithm of the transform of the integer zero tree wavelet was put forward. It was the new means of little wave of the second generation. The whole number invertible matrix transform can be obtained through calculating the whole invertible matrix decomposition of wavelet transform. The image specimen was alternated by using decomposition matrix. The obtained coefficient was coded by EZW. It was showed that the integer zero tree wavelet was superior to other compressed coding under low ratio of bit-rate, and made the image data keep the fine composition in the different resolutions after transformation. The course of coding or encoding could be ceased at any time as required to obtain the recovering images with distinct accuracies and yards of rates. It was good for parallel and real -time treatment.