An Approach for the Removal of Gaussian and Impulse Noise at Low Noise Levels
B Ashwini, Gururaj Bijur, P. S. Venugopala · 2011
This paper gives us the analysis of the technique to denoise an image using a filter known as trilateral filter proposed by Roman. They propose the use of a local image statistic for identifying noise pixels in images corrupted with impulse noise of random values. The statistical values quantify how different in intensity the particular pixels are from their most similar neighbors. They also say that this statistic can be incorporated into a filter designed to remove additive Gaussian noise. The result is a new filter capable of reducing both Gaussian and impulse noises from noisy images effectively, which performs remarkably well, both in terms of quantitative measures of signal restoration and qualitative judgments of image quality. Result shows the comparison of noise removal at various noise levels.