The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)
Abstract
This paper presents a no-reference image blur metric that is based on the study of human blur perception for varying contrast values. The metric utilizes a probabilistic model to estimate the probability of detecting blur at each edge in the image, and then the information is pooled by computing the cumulative probability of blur detection (CPBD). The performance of the metric is demonstrated by comparing it with existing no-reference sharpness/blurriness metrics for various publicly available image databases.
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Cites
Handbook of perception and human performance
Boff, K. R., Kaufman, L., & Thomas, J. P. (1986) · Wiley eBooks · Cited by 4,031
Live image quality assessment database release 2
Sheikh, H. R. (2005) · Medical Entomology and Zoology · Cited by 1,275
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
Ferzli, R., & Karam, L. J. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2008.2011760 · Cited by 758
Self-citationProbability summation and regional variation in contrast sensitivity across the visual field
Robson, J. G., & Graham, N. (1981) · Vision Research · doi:10.1016/0042-6989(81)90169-3 · Cited by 616
Perceptual blur and ringing metrics: application to JPEG2000
Marziliano, P., Dufaux, F., Winkler, S., & Ebrahimi, T. (2004) · Signal Processing: Image Communication · doi:10.1016/j.image.2003.08.003 · Cited by 491
Subjective quality assessment IRCCyN/IVC database
Callet, P. L., & Autrusseau, F. (2005) · HAL · Cited by 261
Color image database for evaluation of image quality metrics
Ponomarenko, N., Lukin, V., Egiazarian, K., Astola, J., Carli, M., & Battisti, F. (2008) · 2008 IEEE 10th Workshop on Multimedia Signal Processing · doi:10.1109/mmsp.2008.4665112 · Cited by 181
JPEG2000 encoding with perceptual distortion control
Liu, Z., Karam, L. J., & Watson, A. B. (2006) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.873460 · Cited by 141
Self-citationNo-reference image sharpness assessment based on local phase coherence measurement
Hassen, R., Wang, Z., & Salama, M. M. A. (2010) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2010.5496297 · Cited by 114
A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling
Sadaka, N. G., Karam, L. J., Ferzli, R. M., & Abousleman, G. P. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4711768 · Cited by 84
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The Konstanz natural video database (KoNViD-1k)
Hosu, V., Hahn, F., Jenadeleh, M., Lin, H., Men, H., Sziranyi, T., Li, S., & Saupe, D. (2017) · 2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX) · doi:10.1109/qomex.2017.7965673 · Cited by 343
Zhang, W., Cun, X., Wang, X., Zhang, Y., Shen, X., Guo, Y., Shan, Y., & Wang, F. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.00836 · Cited by 336
No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments
Li, L., Lin, W., Wang, X., Yang, G., Bahrami, K., & Kot, A. C. (2016) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2015.2392129 · Cited by 270
Helping visually impaired users properly aim a camera.
Vázquez, M., & Steinfeld, A. (2012) · Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/2384916.2384934 · Cited by 81
Metadata
- Authors
- Narvekar, N. D., & Karam, L. J.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2011-09
- Volume
- 20
- Issue
- 9
- Pages
- 2678-2683
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2134963900
- Cited by
- 587
- References
- 12
- FWCI
- 28.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Narvekar, N. D., & Karam, L. J. (2011). A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD). IEEE Transactions on Image Processing. https://doi.org/10.1109/tip.2011.2131660
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