A Generalised Unsharp Masking Algorithm Using Bilateral Filter
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2013 by IJETT Journal | ||
| Volume-4 Issue-7 |
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| Year of Publication : 2013 | ||
| Authors : Sunkari Sridhar , Dr.Shaik Meeravali |
Citation
Sunkari Sridhar , Dr.Shaik Meeravali. "A Generalised Unsharp Masking Algorithm Using Bilateral Filter". International Journal of Engineering Trends and Technology (IJETT). V4(7):2896-2902 Jul 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
Abstract
we propose a new generalized algorithm using the exploratory data model as unified frame work. Enhancement of contrast and sharpness of an image is required in many applications. In applications like medical radiography enhancing movie features and obser ving the planets it is necessary to enhance the contrast and sharpness of an image. Unsharp masking is good tool for sharpness enhancement; it is an anti blurring filter. By using unsharp masking algorithm for sharpness enhancement, the resultant image suf fering with two problems, first one is a hallo is appear around the edges of an image, and second one is rescaling process is needed for the resultant image. The aim of this paper is to enhance the contrast and sharpness of an image simultaneously and to s olve the problems. In the proposed algorithm, we can adjust the two parameters controlling the contrast and sharpness to produce the desired output. The proposed algorithm is designed to address issues:1) simultaneously enhancing contrast and sharpness by means of individual treatment of the model component and the residual,2)reducing the halo effect by means of an edge - preserving filter using Bilateral filter. Experimental results, which comparable to recent published results, shows that proposed algorithm is able to significantly improve the sharpness and contrast of an image. This makes the proposed algorithm practically useful.
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Keywords
Bilateral filter , edge - preserving filter, exploratory data model , Image Enhancement, Unsharp Masking .