Title :
A novel edge preserving filter for impulse noise removal
Author :
Singh, Krishna Kant ; Mehrotra, Akansha ; Nigam, M.J. ; Pal, Kirat
Author_Institution :
Earthquake Eng. Dept., IIT Roorkee, Roorkee, India
Abstract :
This paper proposes an edge preserving filter for removal of impulse noise. Digital images received from various sources are often degraded due to impulse noise and thus become unsuitable for further processing. To overcome this degradation removal of impulse noise is very important. In this paper an effective and efficient method of impulse noise removal is proposed which not only removes noise but also preserves edges. The algorithm first finds noisy, noise free and edge pixels. Then it replaces the noisy pixel with a pixel from its neighbourhood which is nearest to the adaptive median of the noisy pixel, this removes the noise as well as preserves edges and fine image details.
Keywords :
filtering theory; image denoising; image restoration; impulse noise; adaptive median; degradation removal; digital images; edge pixels; edge preserving filter; fine image details; image restoration; impulse noise removal; neighborhood difference; noisy pixel; Adaptive filters; Filtering algorithms; Image edge detection; Image restoration; Noise measurement; PSNR; Image restoration; Impulse noise; edge preserving; neighborhood difference;
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies (IMPACT), 2011 International Conference on
Conference_Location :
Aligarh
Print_ISBN :
978-1-4577-1105-3
DOI :
10.1109/MSPCT.2011.6150448