面向边缘特征保持的图像压缩
Image Compression Oriented to Preserving Edge Characteristic
查看参考文献14篇
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文摘
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为解决如何在图像低比特率压缩的同时将边缘等特征保留下来这一问题,本文提出一种面向边缘特征保持的图像压缩方法,即在基于小波的Contourlet变换压缩基础上提取边缘并对边缘编码,再使用边缘保持重建规则进行低比特率图像压缩重建。仿真结果表明,本文方法与仅基于小波的Contourlet变换图像压缩方法相比,边缘保持更完整,图像对比度更高。面向边缘特征保持的图像压缩方法有利于低比特率条件下重建图像保持完整的边缘特征,从而可以提高用户对重建图像的识别和理解程度。 |
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其他语种文摘
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Image compression for low bit rates will loss edge characteristic seriously, which will influence subsequent recognition and comprehension to the image. Hence, how to preserve the edges of the image when compressing the image becomes an urgent problem. In order to solve this problem, an image compression algorithm is proposed. This algorithm first extracted the edges of the image and encoded the edges based on the compression of wavelet Contourlet transform, and then reconstructed the edge preserved image by the edge preservation rule. The experiment results demonstrated that our algorithm could preserve the edges more completely, and keep the value of image contrast index higher. As a result, our algorithm is propitious to enhance the degree of comprehending the reconstructed image contentunder low bit rates reconstruction condition. |
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来源
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光电工程
,2012,39(12):103-108,115 【核心库】
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关键词
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边缘保持
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WBCT
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链码
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图像压缩
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地址
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中国科学院沈阳自动化研究所光电信息研究室, 中国科学院光电信息处理重点实验室;;辽宁省图像理解与视觉计算重点实验室, 沈阳, 110016
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语种
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中文 |
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ISSN
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1003-501X |
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学科
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电子技术、通信技术;自动化技术、计算机技术 |
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基金
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中国科学院创新基金面上项目
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文献收藏号
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CSCD:4717411
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14
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