Directional-rational approach for color image enhancement

Abstract

In this paper, we present an unsharp masking-based approach for noise smoothing and edge enhancing in multichannel images. The proposed structure is similar to the conventional unsharp masking structure, however, the enhancement is allowed only in the direction of maximal change and the enhancement parameter is computed as a nonlinear function of the rate of change. The proposed scheme enhances the true details, limits the overshoot near sharp edges and attenuates noise in flat areas. Moreover the use of the control function eliminates the need for the subjective coefficient X used in the conventional unsharp masking technique.Simulations results show that the processed image presents sharp edges which makes it more pleasant to the human eye. Moreover, the amount of noise in the image is clearly reduced.

Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid

“…Ramponi and Polesel proposed rational filters for unsharp masking [14], where the filter output depends on the local activity. Also, Cheikh and Gabbouj [15] proposed a rational unsharp masking filter that limits the overshoots near sharp edges and attenuates noise in flat areas. The characteristics of the control function used in the proposed algorithm are similar to those of the rational filter by Ramponi and Polesel [14].…”