光学学报, 2011, 31 (s1): s100504, 网络出版: 2011-06-23
一种红外图像细节增强和动态范围压缩处理算法 
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A New Infrared Image Detail Enhancement and Dynamic Range Compression Algorithm
图像处理 红外图像 数字细节增强 高斯滤波器 动态范围压缩 imaging processing infrared image digital detail enhancement Gaussian filter dynamic range compression
摘要
研究了一种基于高斯约束滤波器的图像细节增强算法，通过高斯约束滤波器将原始红外图像分解为基图和细节图，并采用γ变换分别对其压缩，然后将两部分图像重新合成，从而在保留图像细节的同时有效地使红外场景得到高动态灰度显示。分析了传统非锐化掩模图像增强算法光晕现象产生的原因及新处理方法对光晕现象的抑制过程，通过对多幅不同场景特征的红外图像测试比较，表明算法处理效果明显。
Abstract
A new digital detail enhancement algorithm based on Gaussian and restriction filter is proposed. This algorithm adopts a base component and a detail component extracted by Gaussian and restriction filter, and the two components are compressed through gamma transform to fit the display dynamic range, and then they are recombined to obtain the output-enhancement image.The proposed algorithm is compared with traditional unsharp masking (UM) algorithm and the effectiveness of the proposed algorithm on restricting the ripple phenomenon is shown. Experimental results demonstrate that the proposed algorithm has good performance in detail enhancement.
刘秀, 刘斌, 金伟其, 范永杰. 一种红外图像细节增强和动态范围压缩处理算法[J]. 光学学报, 2011, 31(s1): s100504. Liu Xiu, Liu Bin, Jin Weiqi, Fan Yongjie. A New Infrared Image Detail Enhancement and Dynamic Range Compression Algorithm[J]. Acta Optica Sinica, 2011, 31(s1): s100504.
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