Title :
An Adaptive Median Filter for Image Denoising
Author :
Chang, Chin-Chen ; Hsiao, Ju-Yuan ; Hsieh, Chih-Ping
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung
Abstract :
In this paper, a new image-denoising filter that is based on the standard median (SM) filter is proposed. In our method, a threshold and the standard median is used to detect noise and change the original pixel value to a newer that is closer to or the same as the standard median. We also incorporate the center weighted median (CWM) filter in our method. With our experimental results, we have made a comparison among our method, the standard median (SM) filter, the center weighted median (CWM) filter, and the tri-state median (TSM) filter, in which our method proves to be superior.
Keywords :
adaptive filters; image denoising; median filters; adaptive median filter; center weighted median filter; image-denoising filter; standard median filter; tristate median filter; Adaptive filters; Computer science; Image denoising; Information filtering; Information filters; Information technology; Pixel; Resists; Samarium; Sorting; Center Weighted Median Filter; Impulse noise; Standard Median Filter; Tri-State Median Filter;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.259
