Color Image Hybrid Coding Using Correlation Vectors and SPIHT Algorithm

摘要：

Paper presents a method for color image compression coding by using correlation vectors combined with SPIHT Algorithm. In this method, the Green component of a color image is coded using SPIHT Algorithm, and the other two components are segmented into multi-subregions by quadtree partitioning according to the non-correlation degree of three color components. Based on the calculated correlation vectors between three components in the same subregion, the coding for the other two components becomes the coding of correlation vectors. Experiment results show that this method is of high coding and decoding rates, and with quite good signal to noise ratio, compression rate and visual quality.

关键词： non-smoothness degree non-correlation degree correlation vector SPIHT algorithm hybrid coding

作者: Yutuo Chen Yi Yu Zhiru Yang

作者单位: School of Computer Science Central South University of forestry and technology Changsha, 410004, Chi Department of information engineering Zhuzhou professional technology collage Zhuzhou, 412000, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 244-249

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）