Improved Enhancement Scheme Using a RBFN Detector for Impulse Noise

Abstract

Since noise smoothing and image enhancement are conflicting objectives in most image processing application, so it has to be dealt properly to preserve the quality of the image. The perceptual appearance of an image may be significantly improved by modifying the high frequency components to have better edge and detail information in the image. A simple method has been proposed to improve the pitfalls of the existing unsharp mask technique which removes impulsive noise while preserving the edges and provides better contrast for visual perception. Comparative analysis on standard images at different noise conditions shows that the proposed scheme, in general, outperforms the existing schemes.