Wavelet transform based medical image enhancement using human visual characteristics

Manoj Alwani; Dushyant Goyal; Anil Kumar Tiwari

doi:10.1117/12.853490

26 February 2010 Wavelet transform based medical image enhancement using human visual characteristics

Manoj Alwani, Dushyant Goyal, Anil Kumar Tiwari

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461H (2010) https://doi.org/10.1117/12.853490
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

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.

Citation Download Citation

Manoj Alwani, Dushyant Goyal, and Anil Kumar Tiwari "Wavelet transform based medical image enhancement using human visual characteristics", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461H (26 February 2010); https://doi.org/10.1117/12.853490

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