| 一种改进的自适应图像增强法 |
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| 引用本文： | 武和雷,乐宋进,胡泳芬. 一种改进的自适应图像增强法[J]. 南昌大学学报(工科版), 2005, 27(1): 60-63 |
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| 作者姓名： | 武和雷 乐宋进 胡泳芬 |
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| 作者单位： | 南昌大学,信息工程学院,江西,南昌,330029 |
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| 基金项目： | 江西省教育厅基础研究基金资助(10-35-13-04) |
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| 摘 要： | 在去除噪声的同时，如何避免图像细节信息的损失和边缘的模糊，这是图像增强技术中的一个难点和关键问题．本文提出了一种自适应图像增强方法，即在对小波变换系数取阈值处理，并结合图像的自身特征对噪声和信号加以区分，通过对调整因子的设置来自适应增强图像边缘的方法．并用该法进行了实验仿真分析，取得了较好的增强效果，在降噪的同时保持了大部分细节及边缘信息．
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| 关 键 词： | 小波变换 图像增强 阈值 |
| 文章编号： | 1006-0456(2005)01-0060-04 |
| 修稿时间： | 2004-06-17 |
An Improved Method of Adaptive Image Enhancement |
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| WU He-lei,LE Song-jin,FU Yong-fen. An Improved Method of Adaptive Image Enhancement[J]. Journal of Nanchang University(Engineering & Technology Edition), 2005, 27(1): 60-63 |
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| Authors: | WU He-lei LE Song-jin FU Yong-fen |
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| Abstract: | The pivotal issue in image enhancing is how to eliminate noise as well as to maintain image detail and edge. In this paper,an adaptive local threshold scheme is proposed namely by thresholding the wavelet transform coefficients of images.Combining with natural characters of image,the signal can be separated in wavelet transform and the edge of image is enhanced with adjusting factor. Simulation results are provided in this paper. Satisfying results have been obtained in noise smoothing with image edge and other main features are reserved. |
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| Keywords: | wavelet transform image enhancing threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
