Title :
Statistical Analysis of Impulse Noise Model for Color Image Restoration
Author :
Phu, Mieng Quoc ; Tischer, Peter Eric ; Wu, Hong Ren
Author_Institution :
Clayton Sch. of Inf. Technol., Clayton
Abstract :
In the area of color image restoration, many state-of-the-art filters consist of two main processes, classification and reconstruction. Classification is used to separate clean pixels from corrupted pixels. Reconstruction involves using values from corrupted pixels to interpolate values for pixels believed to have been corrupted. In this paper, two statistical analyses are carried out to determine how salt and pepper and random impulse noise behave in images. By computing the cluster count and probability of occurrence in a database of 1000 single color noisy images for each noise model, we found that the results will benefit the classification and reconstruction process in color image filters.
Keywords :
image classification; image colour analysis; image denoising; image resolution; image restoration; impulse noise; interpolation; random noise; statistical analysis; clean pixels; color image filters; color image restoration; corrupted pixels; image classification; image reconstruction; impulse noise model; interpolation; random noise; statistical analysis; Australia; Color; Colored noise; Degradation; Filters; Gaussian noise; Image reconstruction; Image restoration; Statistical analysis; Working environment noise;
Conference_Titel :
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-2841-4
DOI :
10.1109/ICIS.2007.173