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Proceedings Paper

Wavelet transform based medical image enhancement using human visual characteristics
Author(s): Manoj Alwani; Dushyant Goyal; Anil Kumar Tiwari
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Paper Abstract

This paper presents an enhancement method based on human visual characterstics (HVC) for medical images. In medical field images suffer from poor contrast and sometimes information is hidden in dark areas, due to this we are not able to extract information from them. We are presenting a method which takes care of these factors. According to HVC, human eyes are more sensitive towards plenty of details or great changings and less sensitive to smooth regions. So we divide the images in smooth area and detail area by discrete wavelet transform (DWT), and then use different processing methods for these areas according to HVC. Moreover, our experimental results validate that the proposed method performs better than conventional histrogram equalization method.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461H (26 February 2010); doi: 10.1117/12.853490
Show Author Affiliations
Manoj Alwani, The LNM Institute of Information Technology (India)
Dushyant Goyal, The LNM Institute of Information Technology (India)
Anil Kumar Tiwari, The LNM Institute of Information Technology (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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