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Recent approaches on no- reference image quality assessment for contrast distortion images with multiscale geometric analysis transforms: A survey

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dc.citedby8
dc.contributor.authorAhmed I.T.en_US
dc.contributor.authorDer C.S.en_US
dc.contributor.authorHammad B.T.en_US
dc.contributor.authorid57193324906en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid57193327622en_US
dc.date.accessioned2023-05-29T06:39:14Z
dc.date.available2023-05-29T06:39:14Z
dc.date.issued2017
dc.description.abstractThe study of Image Quality Assessment (IQA) in digital image and video processing is challenging due to the existences of numerous types of distortions such as blur, noise, blocking, contrast change, etc. Nevertheless, it is interesting to devise a metric system in order to determine the quality of an image quantitatively. Currently, most of the existing No Reference(NR)-IQA metrics focus on the quality evaluation of distorted images due to compression, noise and blurring. The related work performed in the area of NR-IQA for Contrast Distortion Images (CDI) is quite limited unfortunately. Also, most of the existing NR-IQA metrics are designed in spatial domain and very little of them are devised based on Multiscale Geometric Analysis (MGA) Transforms. Therefore, in this paper, NR-IQA metrics are classified into two groups, i.e. NR-IQA Metrics for general purpose and NR-IQA Metrics for CDI. Due to the fact that our main focus is contrast distortion, NR IQA metrics have been overviewed in both spatial and transform domains. We classify the transform domain into traditional transform and MGA transform then focusing on MGA Transforms. Subsequently, the MGA transform which is suitable for the design of NR-IQA metric used to predict the quality of CDI is proposed. The presented survey will to keep up-to-date the researchers in the field of image quality assessment especially for CDI. Also, this survey provides an outlook for future work using many combinations among MGA Transforms to access to new IQA metric for CDI. � 2005 � ongoing JATIT & LLS.en_US
dc.description.natureFinalen_US
dc.identifier.epage569
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85012993361
dc.identifier.spage561
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85012993361&partnerID=40&md5=95b8a5ff52cac20825d0bd315e9be30b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23297
dc.identifier.volume95
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleRecent approaches on no- reference image quality assessment for contrast distortion images with multiscale geometric analysis transforms: A surveyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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