An Adaptive Image Filter Based on Decimal Object Scale For Noise Reduction and Edge Detection
A novel adaptive Image filter is proposed for noise reduction and edge detection where the decimal object scale is adopted to detect the size of the local structure. The image filter contains two parts: an adaptive median filter and an adaptive Gaussian filter. Its main idea is: the strong noise points are removed by using an adaptive median filter which smoothes the image selectively according to the decimal object scale, then, the remaining weak noise points are removed by using an adaptive Gaussian fdter of which the variance and mask size are controlled by the decimal object scale and integral object scale respectively. The main contribution of this paper is that the integral object scale is upgraded to the decimal object scale for reflecting the local structure size more accurately. Both subjective and objective comparisons indicate that our method can preserve the fine details while suppress noise, and is superior to the several traditional methods.
Decimal Object Scale Integral Object Scale Adaptive Median Filter Adaptive Guassian Filter
Xiaoliang Qian Lei Guo Bo Yu
Northwestern Polytechnical University of Automation, Xian, Shaanxi, 710129, China
国际会议
长沙
英文
461-465
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）