TY - GEN
T1 - An adaptive image filter based on decimal object scale for noise reduction and edge detection
AU - Qian, Xiaoliang
AU - Guo, Lei
AU - Yu, Bo
PY - 2010
Y1 - 2010
N2 - 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 filter 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.
AB - 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 filter 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.
KW - Adaptive guassian filter
KW - Adaptive median filter
KW - Decimal object scale
KW - Integral object scale
UR - http://www.scopus.com/inward/record.url?scp=77955815289&partnerID=8YFLogxK
U2 - 10.1109/ICICTA.2010.219
DO - 10.1109/ICICTA.2010.219
M3 - 会议稿件
AN - SCOPUS:77955815289
SN - 9780769540771
T3 - 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
SP - 461
EP - 465
BT - 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
T2 - 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Y2 - 11 May 2010 through 12 May 2010
ER -