Paper Info
Title
Wavelet transform based medical image enhancement using human visual characteristics
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.
Year
DOI
Venue
2010
10.1117/12.853490
Proceedings of SPIE
Keywords
Field
DocType
Human Vision Characterstics (HVC),Linear Transform
Computer vision,Equalization (audio),Computer science,Linear transform,Image quality,Image processing,Digital image,Information extraction,Artificial intelligence,Discrete wavelet transform,Wavelet transform
Conference
Volume
ISSN
Citations 
7546
0277-786X
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
manoj alwani100.34
Dushyant Goyal2415.21
Anil Kumar Tiwari36517.51