Publication:
Analysis and improvement on statistical naturalness measure

dc.citedby2
dc.contributor.authorIsmail N.H.B.en_US
dc.contributor.authorChen S.-D.en_US
dc.contributor.authorid57089831500en_US
dc.contributor.authorid7410253413en_US
dc.date.accessioned2023-05-29T06:12:47Z
dc.date.available2023-05-29T06:12:47Z
dc.date.issued2016
dc.description.abstractAlthough Statistical Naturalness Measure (SNM) can rate the naturalness of image�s contrast relatively well, but it suffers from the problem of inconsistent rating across different spatial resolution; ratings for images with identical content and contrast level but different spatial resolution might be significantly different. The statistical model SNM was developed upon sample images with certain spatial resolution and the contrast was defined using a specific block size. This paper suggests that the problem is due to the computation of contrast using fixed block size regardless of the spatial resolution of the input image. It is proposed to rescale the block size based on the spatial resolution of input image to keep the ratio of block size to image size similar to those of the sample images used in developing the statistical model of SNM. The proposed method is tested and proven statistically to be effective in reducing the inconsistency in the ratings of images across different spatial resolution such there is no significant difference among them. � 2005 - 2016 JATIT & LLS. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage372
dc.identifier.issue3
dc.identifier.scopus2-s2.0-84956691380
dc.identifier.spage368
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84956691380&partnerID=40&md5=dd7a0bcb8f2e24cf2b140ffc4b16c5e0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22858
dc.identifier.volume83
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleAnalysis and improvement on statistical naturalness measureen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections