A Wavelet Based Image Sharpening Algorithm

The fundamental idea of image sharpening is to add to the input signal a high-pass filtered version of the signal itself. Wavelet coefficients provide multiresolution high frequency components of an image. Making use of this property, in this paper, we propose a wavelet-based algorithm for image sharpening. First, an image containing the edge information of the original image is obtained from a selected set of wavelet coefficients. This image is then combined with the original image to generate a new image with enhanced visual quality. In addition, we design an effective approach to remove those coefficients related with noise rather than the real image to further enhance the image quality. Experimental results demonstrate the effectiveness of the proposed algorithm for image sharpening purpose.