A Wavelet Based Generalized Unsharp Making Algorithm

In this paper we propose an improved unsharp masking algorithm. Contrast enhancement and image sharpness is required in many applications. Unsharp masking is a classical tool for sharpening an image. Unsharp masking algorithm is used for the exploratory data model as a unified framework. Proposed algorithms have three issues: 1) Contrast is increased and image is sharp by means of individual treatment of the residual and the model component. 2) Halo effect is reduced by means of wavelet based denoising methods. 3) Out-of-range problem is solved by means of log-ratio and tangent operation. Experimental result shows that the our proposed algorithm provides the better result as compared with the previous one the contrast of the image is enhanced and sharpness of the image is increased. In the proposed method the user can adjust the two parameters by controlling the contrast and sharpness to produce the better result. Keywords—Generalized linear system, image enhancement, Unsharp masking, wavelet Denoising ——————————  ——————————