期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2016
卷号：4
期号：4
页码：6522
DOI：10.15680/IJIRCCE.2016.0404033
出版社：S&S Publications
摘要：In order to get an efficient image representation a new adaptive Haar wavelet transform, called Tetrolet transform is introduced. Tetrolet transform is a wavelet based efficient and effective transform , utilizes supports formed by connecting four identical squares known as tetrominoes such that each is connect ed to at least one other square along its boundary. Haar wavelets are defined on these tetrominoes so as to form a localized orthonormal basis. The procedure is applied on small 4 × 4 partitions of the low pass image and the sparsest covering from each parti tion is stored the non - redundancy in the wavelet basis result in sparse image representation. Consequently high compression ratio is achieved after the application of a wavelet shrinkage procedure on the Tetrolet coefficients. In order to reduce the proces sing cost certain modifications in the original Tetrolet transform are also discussed. Tetrolet transform is an effective technique uses tetrominoes for image compression with less edge blurring. The reduction in file size allows more images to be stored i n a given amount of disk or memory space
关键词：Tetrominoes; sparse image representation; Haar wavelets; image compression; Tetrolet Transform
