An Improved Embedded Image Compression Algorithm

摘要：

This paper presents an improved image compression algorithm to make up a deficiency arising when the Embedded Zerotree Wavelet encoding (EZW) is employed to uniformly scan the low and high frequency coefficients. According to the feature of the wavelet transforms energy distribution, the scalar quantization is used to quantify sub-band coefficients of high frequency in order to reduce the IZ(Isolated Zero); the threshold sequence is then adjusted in the process of the successive approximation quantization to minimize distortion when recovering images in this paper. Simulation results show that this improved coding scheme is superior to the EZW algorithm in PSNR as well as image reconstruction quality.

关键词： wavelet transform EZW coding scalar quantization threshold sequence wavelet coefficient

作者: Mei Zhu Zhang Wei Li

作者单位: College of Information Engineering, Zhejiang University of Science & Technology Hangzhou, China College of Information Engineering, Zhejiang University of Technology Hangzhou, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 127-130

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）