计算机技术与发展2018，Vol.28Issue(6)：21-25,5.DOI:10.3969/j.issn.1673-629X.2018.06.005
基于小波变换的图像压缩编码方法研究
Research on Image Compression Coding Method Based on Wavelet Transform
摘要
Abstract
Embedded zerotree wavelet ( EZW) is a kind of very effective image coding algorithm based on discrete wavelet transform, which can achieve progressive code with a good quality of image recovery. In the research of embedded zero tree wavelet coding algo-rithm,there exist deficiency that repeated scanning of coefficient would increase the amount of calculation and the coding bits number, furthermore during the scanning process a large number of zero would result in high-order complexity. For this,we propose an improved EZW algorithm of image compression coding combing Huffman coding. First of all,it expands encoding dictionary to change scanning way,implementing the quick determination of the zero tree structures,avoiding continuous zero root. Then it is combined with the Huff-man code to replace the arithmetic coding method to make it simpler. Finally,we compare the original algorithm with the proposed algo-rithm in the simulation with Matlab. The experiments show that in comparison to the independent EZW algorithm,the proposed algorithm not only increases the coding efficiency,but also improves the peak signal-to-noise ratio ( PSNR) ,which proves its feasibility.关键词
图像压缩/离散小波变换/霍夫曼编码/嵌入式零数小波Key words
image compression/discrete wavelet transform/Huffman coding/EZW分类
信息技术与安全科学引用本文复制引用
詹为,段先华,於跃成..基于小波变换的图像压缩编码方法研究[J].计算机技术与发展,2018,28(6):21-25,5.基金项目
国家自然科学基金(61502211) （61502211）
