基于自适应非线性滤波的红外图像增强算法  

Study on Infrared Image Enhancement Based on Adaptive Nonlinear Filtering

作　　者：王莉[1] 唐宏[1] 胡伟[2] 

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学光电工程学院,重庆400065

出　　处：《电视技术》2008年第z1期143-145,共3页Video Engineering

摘　　要：为了提高红外焦平面阵列的成像质量,提出一种基于自适应非线性滤波器与直方图均衡相结合的红外图像增强算法,该算法利用自适应非线性滤波器抑制噪声,并通过直方图均衡对红外图像进行增强处理,提高了红外图像的对比度,有效地提高了红外图像的成像质量。实验结果表明,利用此算法增强后的红外图像视觉效果清晰,细节完整,达到设计要求。A novel effective algorithm for enhancing infrared image quality is presented which is based on a special combination of an adaptive nonlinear filter and histogram equalization. Nonlinear filtering technique is used for the suppression of noise, and the image enhancement procession is implemented after the suppression of noise of infrared focal plane arrays (IRFPA) by using histogram equalization. The new method can both suppress the noise effectively of IRFPA and increase the contrast of the infrared image in order to improve infrared image quality. Simulations indicate that the infrared image signals details and edges are preserved and the vision effect is ideal after the new method processing.

关 键 词：红外焦平面阵列 非线性滤波 直方图均衡 图像增强处理 

分 类 号：TN216[电子电信—物理电子学]