DocumentCode
679810
Title
A novel approach for contrast enhancement and noise removal of medical images
Author
Govind, Vijeesh ; Balakrishnan, Arun A. ; Mathew, Dinto
Author_Institution
Dept. of Appl. Electron. & Instrum., Rajagiri Sch. of Eng. & Technol., Kakkanad, India
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
153
Lastpage
156
Abstract
This paper presents the application of two different image enhancement techniques to medical images and the comparison of these techniques with traditional Histogram Equalization (HE) method. The proposed method uses Weighted Histogram Equalization (WHE) and transform domain approach to enhance medical images. Simulation results shows that Perona-Malik filter (PM filter) can be used to remove the noise from the enhanced image without impacting the image contrast. Peak Signal to Noise Ratio (PSNR) values shows that the use of Perona-Malik filter can improve both the methods. The proposed WHE method with PM filter shows better PSNR values than the transform domain approach with PM filter.
Keywords
filtering theory; image denoising; image enhancement; medical image processing; transforms; HE method; PM filter; PSNR values; Perona-Malik filter; WHE; contrast enhancement; histogram equalization method; image contrast; image enhancement techniques; medical image enhancement; medical images; noise removal; peak signal to noise ratio values; transform domain approach; weighted histogram equalization; Biomedical imaging; Histograms; Image edge detection; Image enhancement; PSNR; Transforms; Image enhancement; Perona-Malik filter; Weighted histogram equalization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Communication and Computing (ICCC), 2013 International Conference on
Conference_Location
Thiruvananthapuram
Print_ISBN
978-1-4799-0573-7
Type
conf
DOI
10.1109/ICCC.2013.6731641
Filename
6731641
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