| 引用本文: | 王红霞,成礼智,吴翊.基于二进小波变换的噪声图像自适应增强新算法.[J].国防科技大学学报,2005,27(1):51-54 ,59.[点击复制] |
| WANG Hongxia,CHENG Lizhi,WU Yi.An Adaptive Strategy for Image Enhancement Based on the Dyadic Wavelet Transform[J].Journal of National University of Defense Technology,2005,27(1):51-54 ,59[点击复制] |
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| 基于二进小波变换的噪声图像自适应增强新算法 |
| 王红霞, 成礼智, 吴翊 |
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(国防科技大学 理学院，湖南 长沙 410073)
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| 摘要: |
| 针对图像增强算法通常会放大原图像中噪声分量的问题，提出了一种基于二进小波变换的图像增强新算法。该算法充分利用了二进小波变换的平移不变性和各尺度上小波系数间的相关性，有效改善了增强过程中噪声放大和边缘失真问题。此外，算法具有高度的自适应能力，适用性更强。实验结果表明，与目前已有的各类多尺度图像增强算法相比，该算法在抑制噪声和凸显图像特征两方面均有明显改进。 |
| 关键词: 自适应图像增强 二进小波变换 增强函数 尺度相关性 |
| DOI： |
| 投稿日期：2004-10-09 |
| 基金项目:国家自然科学基金资助项目(10171109) |
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| An Adaptive Strategy for Image Enhancement Based on the Dyadic Wavelet Transform |
| WANG Hongxia, CHENG Lizhi, WU Yi |
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(College of Science, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A new algorithm for image enhancement based on the dyadic wavelet transform is proposed aiming at minimizing the image noise while amplifying the image feature. By making full use of the shift invariability of the dyadic wavelet transform and correlation of the wavelets coefficients from different scales, the proposed algorithm can efficiently alleviate the amplification of the noise and distortion of edges, which are the most difficult and common problems in image enhancement. Furthermore, the enhancing strategy is highly adaptive and thus applicable to images from many sources. The results of experiments are also given, which show that the new algorithm performs better in both de noising and image feature enhancing compared with the existing multi scale algorithms. |
| Keywords: adaptive image enhancement the dyadic wavelet transform enhancing function scale correlation |
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