Hybrid Image Compression based on Polynomial and Block Truncation Coding

被引:0
作者
Al-Khafaji, Ghadah [1 ]
机构
[1] Univ Baghdad, Coll Sci, Dept Comp Sci, Baghdad, Iraq
来源
2013 FIRST INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRICAL, COMMUNICATION, COMPUTER, POWER, AND CONTROL ENGINEERING (ICECCPCE'13) | 2013年
关键词
Image compression; polynomial representation model; block truncation coding and hybrid compression system;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a simple hybrid lossy image compression system is introduced; it is based on a combination of two techniques that exploits the spatial domain efticiently of linear polynomial approximation model to decompose image signal followed by block tnmcation coding of two-Ievel quantizer on the residue part of the image, which represents the error caused by applying polynomial approximation. Then, the compressed information encoded using a simple run length coding and Huffman coding techniques. The test results shown in this paper are promising in terms of high compression rate achieved due to integrates the flexibility of polynomial model in overcoming the limitations of extra overhead information required compared to traditional predictive, along with effectiveness of block truncation coding as a I-bit quantizer moments preserving.
引用
收藏
页码:179 / 184
页数:6
相关论文
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