Image Compression Using Haar Wavelet Based Tetrolet Transform

被引:0
作者
Naqvi, S. A. Raza [1 ]
机构
[1] Seoul Natl Univ Sci & Technol, Mil Coll Signals, Seoul, South Korea
来源
2013 INTERNATIONAL CONFERENCE ON OPEN SOURCE SYSTEMS AND TECHNOLOGIES (ICOSST) | 2013年
关键词
tetromino tilling; sparse image representation; Haar wavelets; image compression; adaptive wavelet transform; SPARSE REPRESENTATION;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Tetrolet Transform, a wavelet based efficient and effective transform, utilizes supports formed by connecting four identical squares known as tetrominoes such that each is connected to at least one other square along its boundary. Haar wavelets are defined on these tetrominoes so as to form an localized orthonormal basis. The procedure is applied on small 4x4 partitions of the low pass image and the sparsest covering from each partition is stored. The non-redundancy in the wavelet basis results 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 processing cost certain modifications in the original Tetrolet Transform are also discussed.
引用
收藏
页码:50 / 54
页数:5
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