NDLI: Medical image enhancement based on modified lut-mapping derivative and multi-scale layer contrast modification

Content Provider	IEEE Xplore Digital Library
Author	Bo Fan Fugen Zhou Hongbin Han
Copyright Year	2011
Description	Author affiliation: Department of Radiology, Peking University Third Hospital, Beijing, 100191, China (Hongbin Han) \|\| Image Processing Center, Beihang University, Beijing, 100191, China (Bo Fan; Fugen Zhou)
Abstract	It is not uncommon that low-contrast images in medical x-ray imaging would be acquired, which may interfere with the regular diagnosis. Thus, contrast enhancement is of critical significance in dealing with this problem. Multi-scale enhancement method, in recent years, is prevalent but has two weaknesses. Firstly, it could not effectively control the lut(Look up table) mapping in different layers, which may cause halo or grain noise. Secondly, it does not consider the relationship between coarse and detail signal, which may lead to amplified noise or artifacts. To solve the first problem, we propose a method using the modified lut-mapping derivative (MLMD) for intuitive tuning and expand it to multi-scale framework. For the second problem, a multi-scale contrast modification (MCM) function is designed to better suppress the noise or artifacts. The experimental results which integrate with MLMD and MCM show the potential of our method to prevail over the traditional ones and could lead to higher enhanced image quality.
Starting Page	696
Ending Page	703
File Size	1369581
Page Count	8
File Format	PDF
ISBN	9781424493043
e-ISBN	9781424493067
DOI	10.1109/CISP.2011.6100342
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms multi-scale contrast modification image enhancement modified lut-mapping derivative Noise histogram equalization Table lookup multi-scale image processing Helium Image reconstruction Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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