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Comprehensive Unsharp Masking Technique Elaborated in Detail


Miss Snehal Prakash Powar , DKTE Society's Textile & Engineering Institute; Prof. Atul V Shah, DKTE Society's Textile & Engineering Institute; Mr. Prashant P. Zirmite, DKTE Society's Textile & Engineering Institute


Unsharp Masking; Adaptive Gain Control; Contrast Enhancement; Sharpening


One of the elementary image processing technique is image enhancement. Image Enhancement is most important and difficult techniques applied at beginning stage of algorithm or system in image research. It is used to improve the visibility of one aspect or component of an image. Image enhancement is a common approach to improve the quality of those images in terms of human visual perception. There exist lot of techniques that can enhance an image without spoiling it. Out of which Unsharp masking is used as for enhancement of sharpness of an image. There are several applications which requires enhancement in contrast as well as sharpness of an image. An image is mostly degraded by following reasons loss of sharpness or blur, and noise added to the image. Images also suffer from poor image quality, particularly lack of contrast and presence of shading and artifacts, due to the deficiencies in focusing, lighting, specimen staining and other factors. Unsharp masking has key applications in areas such as Health sciences to Enhance biomedical/medical image qualities, Robotic surgery, Low vision reading with electronic display, Machine vision, Forensics, Robot vision etc. This paper elaborates a generalized unsharp masking model by showing outputs at different levels of the algorithm.

Other Details

Paper ID: IJSRDV6I120120
Published in: Volume : 6, Issue : 12
Publication Date: 01/03/2019
Page(s): 146-150

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