摘要
给出了几种索引算法模型,然后分析了整数提升小波变换的性质,针对其索引算法的索引矩阵存储空间问题,对5/3小波变换进行改造,提出了一个新的图像多尺度变换,该变换后得到高频系数和低频系数的动态范围与原始图像像素值的动态范围相同,从而可实现多级可逆索引算法。实验结果显示,基于索引算法的图像多尺度变换的速度较普通方法有显著提高。
This paper presents several models of index algorithm and analysises, the property of lifting wavelets transform. To solve the problems of the space needed for the index-matrix, we change the 5/3 wavelet, and propose a novel image multiscale transform method. The dynamic ranges of both high-frequency coefficients and low-frequency coefficients generated by the proposed new transform are the same as those of the original input image. Thus, the multi-level reversible index transform is realized, The experimental results show that the implementation of the multiscale transforms based on index method is faster than that of the general method.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第2期218-221,共4页
Journal of Image and Graphics
基金
华中科技大学图像信息处理与智能控制教育部重点实验室项目(TKLJ0305)
关键词
索引
多尺度变换
快速算法
查表
index algorithm, multiscale transform, fast algorithm, lookup table
