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Morphological Filters and Wavelet—based Histogram Equalization Image Enhancement for Weak Target Detection
引用本文:JIShu-peng DINGXiao--qing. Morphological Filters and Wavelet—based Histogram Equalization Image Enhancement for Weak Target Detection[J]. 红外技术, 2003, 25(4): 32-38
作者姓名:JIShu-peng DINGXiao--qing
作者单位:[1]Dept.ofElectronicEngineering,TsinghuaUniversity,Beijing,100084,China;Optical-electricitytechnologydevelopmentcenter.Henan,Luoyang,471009,China [2]Dept.ofElectronicEngineering,TsinghuaUniversity,Beijing,100084,China
摘    要:Image enhancement methods are typically aimed at improvement of the overall visibility of features. Though histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image. In this paper, we present a new image enhancement algorithm. After histogram equalization is carried out, morphological filters and wavelet-based enhancement algorithm is used to clean out the unwanted details and further enhance the image and compensate for the information loss during histogram equalization. Experimental results show that the morphological filters and wavelet-based histogram equalization algorithm can significantly enhance the contrast and increase the information entropy of the image.

关 键 词:弱目标检测 形态滤波 小波变换 图像增强 算法

Morphological Filtersand Wavelet-based Histogram Equalization Image Enhancement for Weak Target Detection
JI Shu-peng. Morphological Filtersand Wavelet-based Histogram Equalization Image Enhancement for Weak Target Detection[J]. Infrared Technology, 2003, 25(4): 32-38
Authors:JI Shu-peng
Abstract:
Keywords:
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