Title :
An Impulse Detector for Color Image Restoration
Author :
Phu, Mieng Quoc ; Tischer, Peter Eric ; Wu, Hong Ren
Author_Institution :
Clayton Sch. of Inf. Technol., Monash Univ., Clayton, Vic.
Abstract :
In this paper, a novel approach to impulsive noise detection is proposed for colour image restoration. First, a global adaptive region growing scheme is used to separate uncorrupted clusters of pixels from corrupted clusters. Then, some order statistic vector filters are used to reconstruct the corrupted clusters. Various performance analyses show the detection scheme is more robust for a wide range of impulse noise than some of the state-of-the-art detectors. Thus, the proposed filter outperforms other filters in both objective and subjective image assessments
Keywords :
filtering theory; image colour analysis; image denoising; image restoration; impulse noise; statistical analysis; color image restoration; corrupted clusters; global adaptive region growing scheme; image assessments; impulse detector; noise detection; order statistic vector filters; state-of-the-art detectors; uncorrupted clusters; Adaptive filters; Australia; Color; Colored noise; Detectors; Filtering theory; Image reconstruction; Image restoration; Pixel; Statistics;
Conference_Titel :
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location :
Yonago
Print_ISBN :
0-7803-9732-0
Electronic_ISBN :
0-7803-9733-9
DOI :
10.1109/ISPACS.2006.364824