基于小数目标尺度的图像混合滤波算法  

Hybrid image filter based on decimal object scale

作　　者：钱晓亮[1] 郭雷[1] 余博[1] 

机构地区：[1]西北工业大学自动化学院,西安710129

出　　处：《计算机应用》2011年第3期745-748,762,共5页journal of Computer Applications

基　　金：航空科学基金资助项目(20080153002)

摘　　要：为了在有效去除可见光图像噪声的同时最大限度地保持图像的边缘、纹理等细节,将已有的目标尺度改进为小数目标尺度以便更精确地反映局部目标结构的大小,提出了基于小数目标尺度的自适应高斯滤波和基于小数目标尺度的自适应中值滤波的混合滤波算法。前者通过小数目标尺度来自适应地控制高斯核的尺度和滤波的模板大小,后者利用小数目标尺度自适应地筛选出脉冲噪声点并进行中值滤波,并弥补前者在抑制脉冲噪声方面的不足。理论分析和仿真实验结果均表明,所提出的算法不仅可以去除各种类型的点状噪声,而且在图像细节的保护和信噪比方面优于其他几类传统算法。To remove the noise of optical images while preserving its fine details, the extant object scale was upgraded to the decimal object scale for reflecting the size of local object structure more accurately, and a hybrid image filter which contains two parts was proposed. The first part was an adaptive Gaussian filter based on decimal object scale, the scale of the Gaussian kernel and the mask size of filtering were controlled adaptively by the decimal object scale. The second part was an adaptive median filter based on decimal object scale, and the impulse noise points which were selected adaptively by the decimal object scale were filtered. The weakness of the first part in suppressing the impulse noise was remedied by the second part. Both theory analysis and simulation results show that the presented method can suppress various point-like noise and it is superior to several traditional methods in preserving the fine details and signal to noise ratio.

关 键 词：小数目标尺度 自适应高斯滤波 自适应中值滤波 点状噪声 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]