An Image De-noising Algorithm Based on Detection of Impulse Noise
Yan Feng · Jisuanji fangzhen · 2007
To overcome the drawbacks of the standard median filter in eliminating strong noise, an improved de-noising algorithm is proposed in this paper. It first detects impulse noise in an image by multiplex scale window, and the threshold can be modified adaptively according to the brightness value of different regions. Modified median filtering based on the noise detection results is adopted to remove the impulse noise. This method can effectively remove the impulse noise while successfully preserving the image edge details. It is very worthy in bad noise. The filtering result by experiments is given and it testifies the effectiveness of the algorithm.