The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement
Abstract
Proper contrast change can improve the perceptual quality of most images, but it has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, we in this paper first report a new large dedicated contrast-changed image database (CCID2014), which includes 655 images and associated subjective ratings recorded from 22 inexperienced observers. We then present a novel reduced-reference image quality metric for contrast change (RIQMC) using phase congruency and statistics information of the image histogram. Validation of the proposed model is conducted on contrast related CCID2014, TID2008, CSIQ and TID2013 databases, and results justify the superiority and efficiency of RIQMC over a majority of classical and state-of-the-art IQA methods. Furthermore, we combine aforesaid subjective and objective assessments to derive the RIQMC based Optimal HIstogram Mapping (ROHIM) for automatic contrast enhancement, which is shown to outperform recently developed enhancement technologies.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Martin, D., Fowlkes, C., Tal, D., & Malik, J. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937655 · Cited by 8,216
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 1×
“Friston’s recent discovery of free energy principle [16], we designed the free energy-based distortion metric (FEDM) [17]”
MethodMaking a “Completely Blind” Image Quality Analyzer
Mittal, A., Soundararajan, R., & Bovik, A. C. (2013) · IEEE Signal Processing Letters · doi:10.1109/lsp.2012.2227726 · Cited by 6,766
Multiscale structural similarity for image quality assessment
Wang, Z., Simoncelli, E. P., & Bovik, A. C. (2004) · The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003 · doi:10.1109/acssc.2003.1292216 · Cited by 6,253 · cited 2×
“ods have been designed to pursue better performance [7], [8].”
BackgroundMethodNo-Reference Image Quality Assessment in the Spatial Domain
Mittal, A., Moorthy, A. K., & Bovik, A. C. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2214050 · Cited by 6,064
FSIM: A Feature Similarity Index for Image Quality Assessment
Zhang, L., Zhang, L., Mou, X., & Zhang, D. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2109730 · Cited by 5,203
Image information and visual quality
Sheikh, H. R., & Bovik, A. C. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.859378 · Cited by 4,104
Cited by
Perceptual image quality assessment: a survey
Zhai, G., & Min, X. (2020) · Science China Information Sciences · doi:10.1007/s11432-019-2757-1 · Cited by 655
Self-citationNo-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization
Gu, K., Lin, W., Zhai, G., Yang, X., Zhang, W., & Chen, C. W. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2575544 · Cited by 371
Self-citationNam, W., Youn, T., & Ha, C. (2025) · Vehicles · doi:10.3390/vehicles7010008 · Cited by 9
“RR-IQA is a method that utilizes some information from the original image to calculate the quality degree, and the Wavelet-domain Natural Image Statistics Model (WNISM) [12] and Reduced-reference Image Quality Metric for Contrast-changed image (RIQMC) [13] are mainly used.”
Metadata
- Authors
- Gu, K., Zhai, G., Lin, W., & Liu, M.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2016-01
- Volume
- 46
- Issue
- 1
- Pages
- 284-297
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W1971014006
- Cited by
- 390
- References
- 55
- FWCI
- 40.72
- Type
- journal article
- Language
- en
- Open access
- closed
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