基于Contourlet变换的红外图像梯度自适应去噪  

Infrared Image Denoising Algorithm Using Adaptive Threshold Based on Contourlet Transform

作　　者：李永浩[1] 张西红[1] 卢姗 

机构地区：[1]军械工程学院计算机系网络与通信教研室,河北石家庄050003 [2]河北石家庄诺亚人力资源有限公司,河北石家庄050003

出　　处：《红外技术》2011年第10期564-567,573,共5页Infrared Technology

基　　金：国家自然科学基金资助(60672143):基于传感器网络的分布式目标检测

摘　　要：对Contourlet变换图像去噪阈值的选择进行了研究。分析了可见光图像去噪和红外图像去噪的特点,提出了红外图像梯度能量自适应去噪算法。通过实验证明,与传统的几种去噪相比,这种方法更好的保留了图像的轮廓细节,提高了图像的PSNR值,增强了去噪后的视觉效果。In this paper, the selection of threshold of image denoising based on Contourlet transform is reaserched. Considering the characteristics of infrared image and optical image, this paper proposes a new infrared image denoising method based on the Contourlet transform, which is opposite completely to the denoising Algorithm Using Adaptive Threshold Based on Contourlet Transform. The experimental results indicate that this method can get better visual effect and PSNR value compared with other methods.

关 键 词：CONTOURLET变换 红外图像去噪 峰值信噪比 自适应阈值 梯度 

分 类 号：TN911.73[电子电信—通信与信息系统]