DocumentCode
3412246
Title
Detailed regions based medical image contrast enhancement
Author
Moniruzzaman, Md ; Shafuzzaman, Md ; Hossain, Md Faruque
Author_Institution
Dept. of Electron. & Commun. Eng., Khulna Univ. of Eng. & Technol., Khulna, Bangladesh
fYear
2013
fDate
19-21 Dec. 2013
Firstpage
252
Lastpage
256
Abstract
Contrast enhancement of digital images is used to process an input image and to get output image of better quality after processing. A widely used contrast enhancement technique is histogram equalization (HE) technique. Although the technique is simple and effective, it has some drawbacks. It does not preserve the brightness of the image and also has low value of peak signal to noise ratio (PSNR). In this paper, we propose a new technique to enhance the contrast of an image. The technique is detailed regions based and it can be applied on medical images. By using matlab the proposed technique was coded and tested. The proposed technique preserves the brightness of the image by giving low value of average mean brightness error (AMBE). At the same time high value of PSNR is obtained by the proposed technique which means the image is affected by low quality of noise.
Keywords
brightness; image enhancement; medical image processing; AMBE; HE; PSNR; average mean brightness error; contrast enhancement technique; detailed regions; digital images; histogram equalization technique; image brightness; input image; matlab; medical image contrast enhancement; output image; peak signal to noise ratio; Adaptive equalizers; Bones; Brightness; Digital images; Histograms; PSNR; X-ray imaging; AMBE; PSNR; brightness preservation; contrast enhancement; detailed regions;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Electrical Engineering (ICAEE), 2013 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4799-2463-9
Type
conf
DOI
10.1109/ICAEE.2013.6750342
Filename
6750342
Link To Document