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PLIP based unsharp masking for medical image enhancement
Zhao Zhou; Zhou Yicong
2016-05-18
Conference NameIEEE International Conference on Acoustics, Speech, and Signal Processing
Source PublicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2016-May
Pages1238-1242
Conference DateMAR 20-25, 2016
Conference PlaceShanghai, PEOPLES R CHINA
Abstract

Medical image enhancement is an effective tool to improve visual quality of digital medical images. In this paper, we propose a new unsharp masking scheme for medical image enhancement. It embeds the PLIP multiplication into the unsharp masking framework. Experimental results demonstrate that the proposed method can effectively enhance the overall contrast and edges of medical images while suppressing background noise.

KeywordMedical Image Enhancement Parameterized Logarithmic Framework Unsharp Masking
DOI10.1109/ICASSP.2016.7471874
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000388373401076
Scopus ID2-s2.0-84973333093
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
AffiliationUniversity of Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao Zhou,Zhou Yicong. PLIP based unsharp masking for medical image enhancement[C], 2016, 1238-1242.
APA Zhao Zhou., & Zhou Yicong (2016). PLIP based unsharp masking for medical image enhancement. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2016-May, 1238-1242.
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