四川大学学报（自然科学版）2012，Vol.49Issue(3)：593-600,8.DOI:10.3969/j.issn.0490-6756.2012.03.021
一种新的红外图像的去噪和增强算法
Anew noise removal and enhancement method of infrared image
摘要
Abstract
The SNR(Signal-to-Noise) of infrared image is generally very low, In this point, a new de-noising algorithm based on Prewitt operator, named IDMFCImproved Directional Median Filter) is proposed. First, the Prewitt operator is used to calculate the gradient direction of TBA(Target-and-Back-ground Area) and the corresponding contour direction is calculated. Second, the median filter is applied to remove the noise in this direction and the detail information can be farthest preserved. Meanwhile, considering the low overall gray distribution of the infrared image and its low contrast, a new contrast enhancement algorithm combined of a partial contrast enhancement and overall contrast enhancement is proposed. The Roberts cross gradient operator is used to achieve the partial enhancement and the piece-wise nonlinear function is introduced to the overall contrast enhancement. Experimental results show that our method is effective.关键词
Prewitt算子/Roberts算子/局部对比度增强/全局对比度增强Key words
prewitt operator, roberts operator, partial enhancement, overall enhancement分类
信息技术与安全科学引用本文复制引用
何艳,吴炜,陈英涛,何小海,杨毅..一种新的红外图像的去噪和增强算法[J].四川大学学报（自然科学版）,2012,49(3):593-600,8.基金项目
国家自然科学基金(61071161) （61071161）
教育部科学技术研究重点资助项目(107094) （107094）
