The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization
Abstract
The general purpose of seeing a picture is to attain information as much as possible. With it, we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) of contrast distortion. For local details, we first roughly remove predicted regions in an image since unpredicted remains are of much information. We then compute entropy of particular unpredicted areas of maximum information via visual saliency. From global perspective, we compare the image histogram with the uniformly distributed histogram of maximum information via the symmetric Kullback-Leibler divergence. The proposed blind IQA method generates an overall quality estimation of a contrast-distorted image by properly combining local and global considerations. Thorough experiments on five databases/subsets demonstrate the superiority of our training-free blind technique over state-of-the-art full- and no-reference IQA methods. Furthermore, the proposed model is also applied to amend the performance of general-purpose blind quality metrics to a sizable margin.
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Cites
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 1×
“So we further take advantage of the bilateral filtering [28], which is a nonlinear filtering with good edge-preserving ability and easy to establish and calculate.”
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 2×
“The filtered image can be treated as an approximation of the predictable information, which can be explained from the angle of free energy principle [29].”
No-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
Most apparent distortion: full-reference image quality assessment and the role of strategy
Larson, E. C., & Chandler, D. M. (2010) · Journal of Electronic Imaging · doi:10.1117/1.3267105 · Cited by 1,953
A Feature-Enriched Completely Blind Image Quality Evaluator
Zhang, L., Zhang, L., & Bovik, A. C. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2426416 · Cited by 1,311
Live image quality assessment database release 2
Sheikh, H. R. (2005) · Medical Entomology and Zoology · Cited by 1,275
Image database TID2013: Peculiarities, results and perspectives
Ponomarenko, N., Jin, L., Ieremeiev, O., Lukin, V., Egiazarian, K., Astola, J., Vozel, B., Chehdi, K., Carli, M., Battisti, F., et al. (2015) · Signal Processing: Image Communication · doi:10.1016/j.image.2014.10.009 · Cited by 1,241
Saliency Based on Information Maximization
Bruce, N. D. B., & Tsotsos, J. K. (2005) · neural information processing systems · Cited by 1,134
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
Zhang, L., Shen, Y., & Li, H. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2346028 · Cited by 1,029
Cited by
Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model
Li, M., Liu, J., Yang, W., Sun, X., & Guo, Z. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2810539 · Cited by 1,245
Metadata
- Authors
- Gu, K., Lin, W., Zhai, G., Yang, X., Zhang, W., & Chen, C. W.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2017-12
- Volume
- 47
- Issue
- 12
- Pages
- 4559-4565
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2430408220
- Cited by
- 371
- References
- 37
- FWCI
- 26.24
- Type
- journal article
- Language
- en
- Open access
- closed
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