Quality assessment of contrast-altered images
Liu M.1; Gu K.2; Zhai G.1; Zhou J.3; Lin W.2
Conference NameIEEE International Symposium on Circuits and Systems (ISCAS)
Source PublicationProceedings - IEEE International Symposium on Circuits and Systems
Conference DateMAY 22-25, 2016
Conference PlaceMontreal, CANADA

In image / video systems, the contrast adjustment which manages to enhance the visual quality is nowadays an important research topic. Yet very limited efforts have been devoted to the exploration of image quality assessment (IQA) for contrast adjustment. To address the problem, this paper proposes a novel reduced-reference (RR) IQA metric with the integration of bottom-up and top-down strategies. The former one stems from the recently revealed free energy theory which tells that the human visual system always seeks to understand an input image by the uncertainty removal, while the latter one is towards using the symmetric K-L divergence to compare the histogram of the contrast-altered image with that of the reference image. The bottom-up and top-down strategies are lastly combined to derive the Reduced-reference Contrast-altered Image Quality Measure (RCIQM). A comparison with numerous existing IQA models is conducted on contrast related CID2013, CCID2014, CSIQ, TID2008 and TID2013 databases, and results validate the superiority of the proposed technique.1

KeywordBottom-up Contrast Alteration Hybrid Parametric And non-Parametric Model (Hpnp) Image Quality Assessment (Iqa) Reduced-reference (Rr) Top-down
URLView the original
Indexed BySCI
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000390094702086
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Affiliation1.Shanghai Jiao Tong University
2.Nanyang Technological University
3.Universidade de Macau
Recommended Citation
GB/T 7714
Liu M.,Gu K.,Zhai G.,et al. Quality assessment of contrast-altered images[C],2016:2214-2217.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu M.]'s Articles
[Gu K.]'s Articles
[Zhai G.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu M.]'s Articles
[Gu K.]'s Articles
[Zhai G.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu M.]'s Articles
[Gu K.]'s Articles
[Zhai G.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.