Estimation of intensity of Random Noise Based on Fractal Dimension for Improvement of Surface texture

Abstract

It was reported that Random noise is effective to improve the surface texture. When the impression of surface texture changes by adding random noise, we need to estimate the appropriate noise intensity for the improvement of surface texture. In this study, we have investigated the relationship between fractal dimension of the noise added image and the subjective evaluation of the image. It is seen in our experimental results using some texture images that the fractal dimension increases steeply when the noise intensity is small, and the amount of change of the fractal dimension is small or constant according to the noise intensity is large. It is seen in our experiments that the appropriate noise intensity for the improvement of surface texture can be obtained using difference of fractal dimension, and the proposed noise estimation measure can be applied to small region with 16×16 pixels in natural images.