| 引用本文: | 严奉霞,成礼智.基于复—方向小波变换和视觉表示的图像增强.[J].国防科技大学学报,2006,28(6):53-57.[点击复制] |
| YAN Fengxia,CHENG Lizhi.Image Enhancement Based on a New Complex-directional Wavelet Transform and the Visual Representation[J].Journal of National University of Defense Technology,2006,28(6):53-57[点击复制] |
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| 基于复—方向小波变换和视觉表示的图像增强 |
| 严奉霞, 成礼智 |
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(国防科技大学 理学院，湖南 长沙 410073)
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| 摘要: |
| 针对复—方向小波变换具有好的平移不变性、方向选择性、对图像边缘特征的表示比传统实小波要好等优势，提出了一种基于视觉表示统计特性和复—方向小波变换的图像增强新方法。该算法在图像的多尺度复—方向小波变换域内进行动态范围（亮度）修正和局部对比度调整以增强图像。实验结果表明，与目前经典的多尺度增强算法相比，运用本文的算法增强的图像视觉效果好，在边缘和细节处失真小，而且对图像源的变化具有很好的鲁棒性。 |
| 关键词: 图像增强 二元树复数小波 双密度二元树小波变换 对比度 |
| DOI： |
| 投稿日期：2006-05-23 |
| 基金项目:国家自然科学基金资助项目(60573027) |
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| Image Enhancement Based on a New Complex-directional Wavelet Transform and the Visual Representation |
| YAN Fengxia, CHENG Lizhi |
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(College of Science, National Univ. of Defense Technology, Changsha 410073,China)
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| Abstract: |
| A novel method for image enhancement, which exploits the properties of the double-density dual-tree DWT and the statistical characters of visual representation, is proposed. The double-density dual-tree DWT combines the characteristics and advantages of the double-density DWT and the complex dual-tree DWT. This allows the transform to provide approximate shift invariance and directional selectivity and is well suited for image enhancement. The algorithm corrects the global dynamic range (brightness) and adjusts local contrast in the new complex-directional wavelet transform domain. Comparisons with some popular image enhancement methods are made, showing the effectiveness of the proposed algorithm. |
| Keywords: image enhancement the dual-tree DWT the Double-density dual-tree DWT contrast |
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