| 基于整数小波变换的图像压缩算法 |
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| 引用本文： | 李华峰,丁绪星,钱焕延.基于整数小波变换的图像压缩算法[J].计算机工程与设计,2006,27(11):2015-2016,2059. |
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| 作者姓名： | 李华峰 丁绪星 钱焕延 |
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| 作者单位： | 1. 南京理工大学,网络中心,江苏,南京,210094
2. 南京理工大学,电光学院,江苏,南京,210094 |
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| 摘 要： | IWT（integer wavelet transform）是一种基于提升格式整数小波变换的图像压缩算法.IWT比传统的浮点小波变换效率要高.在硬件实现时,整数运算比浮点运算便宜,基于提升格式的整数分解时所需的存储空间只是传统变换的一半.基于此考虑有损压缩,图像先作基于提升格式的整数分解,然后结合改进的EZW和自适应量程编码.在编码性能不受影响的情况下,此算法比Shaprio的EZW编码要快1.5倍.
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| 关 键 词： | 整数小波变换 提升格式 |
| 文章编号： | 1000-7024（2006）11-2015-02 |
| 收稿时间： | 2005-04-21 |
| 修稿时间： | 2005-04-21 |
Image compression algorithm based on integer wavelet transform |
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| LI Hua-feng,DING Xu-xing,QIAN Huan-yan.Image compression algorithm based on integer wavelet transform[J].Computer Engineering and Design,2006,27(11):2015-2016,2059. |
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| Authors: | LI Hua-feng DING Xu-xing QIAN Huan-yan |
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| Affiliation: | 1. Network Center, Nanjing University of Science and Technology, Nanjing 210094, China; 2. School of Electronic Engineering and Photoelectric Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | IWT is an image coding algorithm based on the integer wavelet transform by the lifting scheme.IWT is more efficient than conventional float-point wavelet transform and its operation is faster.In case of hardware implementation,integer based on arithmetic is much cheaper than those capable of handling floating points.In terms of memory usage,integer decomposition based on lifting scheme reduces the demands on the system by at least a factor two.For these reasons,the lossy image compression is considered.The image is firstly decomposed by the IWT based on lifting scheme,then coupled with modified EZW and adaptive range coder.Compared to Shaprio's EZW coder,the execution time of this algorithm is more than 1.5 times faster without degrading the performance. |
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| Keywords: | EZW |
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