计算机工程 ›› 2007, Vol. 33 ›› Issue (21): 179-180,.doi: 10.3969/j.issn.1000-3428.2007.21.063

• 人工智能及识别技术 • 上一篇    下一篇

基于小波变换的反锐化掩模图像增强新算法

刘 劲1,康志伟1,何怡刚2   

  1. (1. 湖南大学计算机与通信学院,长沙 410082;2. 湖南大学电气与信息工程学院,长沙 410082)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-05 发布日期:2007-11-05

Unsharp Masking Algorithm for Image Enhancement Based on Wavelet Transform

LIU Jing1, KANG Zhi-wei1, HE Yi-gang2   

  1. (1. School of Computer and Communication, Hunan University, Changsha 410082; 2. School of Electrical and Information Engineering, Hunan University, Changsha 410082)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-05 Published:2007-11-05

摘要: 针对传统的基于小波变换的反锐化掩模图像增强算法中存在的问题,即对比度相同而幅角不同的边缘达到的增强效果之间差别较大,提出了一种新的基于小波变换的反锐化掩模图像增强算法。该算法在对原始图像进行小波分解的基础上,根据小波变换所提供的幅角,对小波系数进行自适应增强处理。实验结果表明,与传统算法相比,新算法使对比度相同而幅角不同的边缘达到的增强效果之间的差别明显减小。

关键词: 小波变换, 反锐化掩模法, 增强, 对比度

Abstract: In view of the problem of the conventional method for unsharp masking algorithm for image enhancement based on wavelet transform that the enhancement of edges whose contrast is same but angles are different is greatly different, a new method for unsharp masking algorithm for image enhancement based on wavelet transform is proposed. The original image is decomposed into wavelet, is based on angles of wavelet coefficients, wavelet coefficients are self-adaptively processed. The image of enhancement is obtained via the inverse wavelet transform. The experimental result demonstrates that the difference of enhancement of edges whose contrast is same but angles are different in the new method is greatly less than that in the conventional method.

Key words: wavelet transform, unsharp masking, enhancement, contrast

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