| 基于小波变换的低照度图像增强新算法 |
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| 引用本文： | 杨晓东,郭晓婷,袁仁坤,范振粤.基于小波变换的低照度图像增强新算法[J].人天科学研究,2013(12):74-76. |
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| 作者姓名： | 杨晓东 郭晓婷 袁仁坤 范振粤 |
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| 作者单位： | [1]东莞市南星电子有限公司,广东东莞523991 [2]华南理工大学电子与信息学院,广东广州510640 |
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| 摘 要： | 针对低照度图像暗、对比度低,同时存在大量黑暗连通区的特点,提出了一种基于小波系数融合的低照度图像增强算法,该算法对图像的低频和高频信息分别用空域法和频域法进行处理。实验表明,该方法在处理低照度图像的过程中,在调节图像动态范围和增强图像细节的同时,也达到了对高频信息降噪的目的。通过该算法处理,能有效减少拍摄图像所需的曝光时间。
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| 关 键 词： | 低照度 图像增强 暗区分割 小波变换 |
New Algorithm of Low-illumination Image Enhancement Based on Wavelet Transform |
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| Abstract: | Aiming at the darkness ,low contrast and connected dark pixels of low illumination image, the low-illumination image enhancing method base on combination of the coefficients from the wavelet transform, was designed. In this algo- rithm, we use space domain method and frequency domain method to process the low frequency and high frequency infor- mation separately. Experiments show that the method will adiust dynamic range and enhance image details, and reduce noise for high frequency imformation. Using this method also can save exposure time. |
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| Keywords: | Low-Illumination Image Enhancement Dark Area Segmentation Wavelet Transform |
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