Publication:
Impact of contrast-distorted image on curvelet coefficients

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dc.citedby2
dc.contributor.authorAhmed I.T.A.en_US
dc.contributor.authorChen C.S.D.en_US
dc.contributor.authorHammad B.T.H.en_US
dc.contributor.authorid57193324906en_US
dc.contributor.authorid7410253413en_US
dc.contributor.authorid57193327622en_US
dc.date.accessioned2023-05-29T07:27:01Z
dc.date.available2023-05-29T07:27:01Z
dc.date.issued2019
dc.descriptionDiscrete cosine transforms; Image quality; Blocking artifacts; Curvelet Coefficients; Curvelet transforms; Distorted images; Fast fading; High frequency components; Image distortions; Potential features; Image compressionen_US
dc.description.abstractImage quality (IQ) can be degraded due to various types of distortion such as noise, blurring, fast fading (FF), blocking artifacts and contrast distortion. These distortions may occur during operations such as acquisition, compression, storage, transmission, display and post-processing. Contrast distortion is one of the most common types of distortion. Contrast-distorted image (CDI) is defined as image with low dynamic range of brightness. Most of existing works that used discrete curvelet transform (DCT) are focused on image distortions such as blur, noise, and compression which often affect the high frequency components of an image. Therefore, this paper will study and investigate the application of curvelet transform for CDI. The distributions of curvelet coefficients at different scales have been found to be effective in characterizing good contrast image and contrast-distorted image. The distributions of curvelet coefficients at the coarsest and finest scales can be used to derive potential features in characterizing good contrast images and also contrast-distorted images. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8640939
dc.identifier.doi10.1109/AiCIS.2018.00018
dc.identifier.epage32
dc.identifier.scopus2-s2.0-85063096738
dc.identifier.spage28
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85063096738&doi=10.1109%2fAiCIS.2018.00018&partnerID=40&md5=ef8adbc35ec22d59615094f10df9cff2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24785
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2018 1st Annual International Conference on Information and Sciences, AiCIS 2018
dc.titleImpact of contrast-distorted image on curvelet coefficientsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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