An Enhancement of Classical Unsharp Mask filter for Contrast and Edge Preservation

نویسنده

  • Gurpreet Kaur
چکیده

Various images are low quality, difficult to detect and extract information. Therefore, enhancement of contrast and Sharpness of an image is required in many applications. Unsharp masking is a good tool for sharpness enhancement: it is an anti-blurring filter. By using Unsharp masking algorithm for sharpness enhancement, the resultant image suffering with two problems, first one is halo appears around the 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 solve the problems. Medical images are one of the fundamental images, because they are used in more sensitive field. In order to improve the visual quality of medical images, the proposed algorithm working on the medical images for their improved diagnostic with enhanced classical Unsharp mask filter which will not only preserve the edge but also the contrast is maintain i.e. suitable for body part. Experimental results, which comparable to recent published results, shows that proposed algorithm is significantly improve the sharpness and contrast of an image. This makes the proposed algorithm practically useful.

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تاریخ انتشار 2013