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
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;
Conference_Titel :
Advances in Electrical Engineering (ICAEE), 2013 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4799-2463-9
DOI :
10.1109/ICAEE.2013.6750342