The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A no-reference perceptual blur metric
Open accessAbstract
We present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual significance is validated through subjective experiments. The novel metric is near real-time, has low computational complexity and is shown to perform well over a range of image content. Potential applications include optimization of source coding, network resource management and autofocus of an image capturing device.
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Citations
Cites
Blind measurement of blocking artifacts in images
Wang, Z., Bovik, A. C., & Evan, B. L. (2002) · Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101) · doi:10.1109/icip.2000.899622 · Cited by 413
Cited by
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features
Xue, W., Mou, X., Zhang, L., Bovik, A. C., & Feng, X. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2355716 · Cited by 641
UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Tu, Z., Wang, Y., Birkbeck, N., Adsumilli, B., & Bovik, A. C. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3072221 · Cited by 363
“Almost all of the earliest BVQA models have been ‘distortion specific,’ meaning they were designed to quantify a specific type of distortion such as blockiness [27], blur [28], ringing [29], banding [30]–[32], or noise [33], [34] in distorted videos, or to assess multiple specific coincident distortion types caused by…”
BackgroundReduced- and No-Reference Image Quality Assessment
Wang, Z., & Bovik, A. (2011) · IEEE Signal Processing Magazine · doi:10.1109/msp.2011.942471 · Cited by 280
A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation
Vu, P. V., & Chandler, D. M. (2012) · IEEE Signal Processing Letters · doi:10.1109/lsp.2012.2199980 · Cited by 271
A no-reference perceptual image sharpness metric based on a cumulative probability of blur detection
Narvekar, N. D., & Karam, L. J. (2009) · 2009 International Workshop on Quality of Multimedia Experience · doi:10.1109/qomex.2009.5246972 · Cited by 208
Metadata
- Authors
- Marziliano, P., Dufaux, F., Winkler, S., & Ebrahimi, T.
- Venue
- Proceedings. International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 1
- Pages
- III-57-III-60
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2108364340
- Cited by
- 557
- References
- 1
- FWCI
- 8.39
- Type
- conference paper
- Language
- en
- Open access
- green
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- Marziliano, P., Dufaux, F., Winkler, S., & Ebrahimi, T. (2003). A no-reference perceptual blur metric. Proceedings. International Conference on Image Processing. https://doi.org/10.1109/icip.2002.1038902
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