Impulse Noise Reduction and Enhancement of Gray Scale and Color Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 11
Abstract
A new filtering algorithm, adaptive weight algorithm, is developed for the removal of impulse noise present in the Images. This approach has two major steps, in that, first is to detect noise pixels according to the correlations between image pixels, and then use different techniques based on the various noise densities. Adjacent signal pixels mean method was adopted for the low noise density, to reduce the noise in image, for the high noise density, adaptive weight algorithm was adopted. Experiments shown that the proposed algorithm has advantages over standard methods in terms of both edge preservation and noise reduction, and even for high density image with noise level as high as 90%, this method still can get a significant performance.
Authors and Affiliations
CH. V. Nagendra Babu, N. Pushpaltha, B. Neelima
Keywords
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