Title :
An Effective Method for Removing Heavy Salt-and-Pepper Noise
Author_Institution :
Beijing Univ. of Chem. Technol., Beijing
Abstract :
An effective method for removing heavy salt-and-pepper noise is proposed in this paper. This method includes three steps. In the first step, the noise pixels are distinguished from the signal pixels; then set initial values for noise pixels; finally, compute the output. The main difference from other switch-type filters is the means to change the values of the contaminated noise pixels. The proposed scheme is very effective, especially for heavily contaminated image. It can remove salt-and-pepper noise with a noise level as high as 95%, and it´s relatively fast.
Keywords :
filtering theory; image denoising; heavy salt-and-pepper noise removal; image contamination; noise pixels; switch-type filters; Adaptive filters; Computational efficiency; Detectors; Image restoration; Information filtering; Information filters; Noise level; Noise reduction; PSNR; Testing;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.695