Title :
Performance analysis of impulse noise removal using cloud algorithm
Author :
Surendhar, S. ; Thirumurugan, P. ; Sasikumar, S.
Author_Institution :
Dept. of Electron. & Commun. Eng., PSNA Coll. of Eng. & Technol., Dindigul, India
Abstract :
In this paper, a novel switching mean filter using cloud algorithm method is proposed, which is a powerful impulse noise removal method. We employ an efficient impulse noise detector to detect the noisy pixels and proposed cloud impulse noise removal algorithm to reconstruct the intensity value of noise pixels. Extensive experimental results demonstrate that our method can obtain better performances in terms of both subjective and objective evaluations than those state-of-the-art impulse denoising techniques. Especially, the proposed method can preserve edges very well while removing impulse noise. Since our algorithm is simple, it is very suitable to be applied to real-time applications.
Keywords :
edge detection; filtering theory; image denoising; image reconstruction; image resolution; cloud algorithm method; edge preservation; impulse denoising techniques; impulse noise detector; impulse noise removal method; noise pixel intensity value reconstruction; noisy pixel detection; performance analysis; switching mean filter; Detectors; Image edge detection; Image restoration; Image sensors; Noise; Noise measurement; Cloud noise reduction; Edges details; Image quality and Impulse noise detector;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
DOI :
10.1109/ICCSP.2014.6949768