A Study of the Effects of Gaussian Noise on Image Features

In this paper, the effect of noise on the features of digital images has been tested. Since most of the computer and communication systems can be affected by Gaussian noise which may come from different natural sources, it was interesting to measure the effect of this noise on image features. For this purpose, a data set of several images was used with Gaussian noise to generate the noisy images. Different Mean and Variance values were used each time with the same data set to measure wide variety of noise parameters. Then, four different enhancement filters were used to remove the Gaussian noise. A total of 10 features were selected for this study. The features from original images, noisy images, and enhanced images are measured and compared. The results show that some filters offended the features of the image more than the noise itself, and all the filters have similar effects on Texture features, Entropy, and two of Wavelet-based features. According to the Texture Features, the Average enhancement filter came up with the best results, but according to the Wavelet-based Features, the Motion enhancement filter came up with the best results. The software used in this paper is Matlab 2013.