| 基于脊波变换的图像压缩 |
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| 引用本文： | 刘晓山,付国兰. 基于脊波变换的图像压缩[J]. 电脑与信息技术, 2007, 15(2): 17-19 |
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| 作者姓名： | 刘晓山 付国兰 |
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| 作者单位： | 江西师范大学物理与通信电子学院,江西,南昌,330022;江西师范大学物理与通信电子学院,江西,南昌,330022 |
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| 摘 要： | 对于含有丰富边缘信息的图像,小波变换并不是很有效的表示方法,而脊波对线奇异性图像能够进行最优的逼近.利用脊波变换后的系数之间的相关性,结合SPIHT编码算法设计出基于脊波变换的图像压缩算法以达到压缩图像的目的.实验结果表明,该算法能获得高的压缩率,同时能保持较高的峰值信噪比和良好的重建图像视觉效果.
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| 关 键 词： | 图像压缩 脊波变换 稀疏表示 SPIHT |
| 文章编号： | 1005-1228(2007)02-0017-03 |
| 修稿时间： | 2007-01-08 |
Image Compression Based on Ridgelet Transform |
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| LIU Xiao-shan,FU Guo-lan. Image Compression Based on Ridgelet Transform[J]. Computer and Information Technology, 2007, 15(2): 17-19 |
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| Authors: | LIU Xiao-shan FU Guo-lan |
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| Abstract: | The wavelet transform is not very effective in image representation when the image has more linear singularities. But the ridgelet transform is the best approximation method for the image with linear singularity.An algorithm for image compression based on ridgelet transform is designed.It effectively makes use of the relativity between the coe~cients and can combine with the modified SPIHT.The experiments results show that the proposed approach can achieve higher compression ratio and PSNR, as well as better visual resuk. |
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| Keywords: | image compression ridgelet transform sparse representation SPIHT |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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