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AuthorSaleem, Amina
AuthorBeghdadi, Azeddine
AuthorBoashashc, Boualem
Available date2021-02-08T09:14:52Z
Publication Date2017
Publication NameNeurocomputing
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.neucom.2016.11.044
URIhttp://hdl.handle.net/10576/17585
AbstractContrast enhancement, in a broad sense, is a process whereby some characteristics of an image signal are highlighted. Techniques for image contrast enhancement improve the visibility of image details but may generate some undesirable artifacts such as noise amplification, ringing and overshooting. As a consequence, developing distortion-free methods for image enhancement is of great interest. In this paper, we propose a perceptual fusion technique to improve the performance of some existing contrast enhancement methods in terms of noise amplification. Multi-resolution fusion using the Laplacian pyramid decomposition is performed to account for the multi-channel characteristics of the human visual system (HVS). The results show the efficiency of the proposed method in enhancing details while preventing noise amplification.
Languageen
PublisherElsevier B.V.
SubjectImage decomposition
Image enhancement
Image fusion
TitleA distortion-free contrast enhancement technique based on a perceptual fusion scheme
TypeArticle
Pagination161-167
Volume Number226
dc.accessType Abstract Only


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