Open AccessA Wavelet Based Unsharp Masking Algorithm for Enhancing Lung Images
Author(s) -
Archana J.N*,
P Aishwarya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2091.1081219
Subject(s) - unsharp masking , masking (illustration) , contrast (vision) , artificial intelligence , computer science , wavelet , enhanced data rates for gsm evolution , computer vision , edge enhancement , image (mathematics) , visual masking , algorithm , image enhancement , image quality , pattern recognition (psychology) , art , visual arts , visual perception , neuroscience , perception , biology
Low contrast and poor quality are the often cited problems in the generation of medical images. In this paper the lung images are sharpened using a technique called Unsharp Masking for contrast enhancement. A simple algorithm using wavelet based unsharp masking is developed in order to improve the quality of the visual data and provide insights to the physician for better and faster diagnosis of diseases. The proposed algorithm and the sharpened images with increasing level of intensity are illustrated. Experimental results shows that in addition to enhancing the details of the image, the proposed algorithm also preserves the edge features of the lung images effectively