Just noticeable defocus blur detection and estimation

Jianping Shi; Li Xu; Jiaya Jia

doi:10.1109/CVPR.2015.7298665

Just noticeable defocus blur detection and estimation

Jianping Shi, Li Xu, Jiaya Jia

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

237 Citations (Scopus)

Abstract

We tackle a fundamental problem to detect and estimate just noticeable blur (JNB) caused by defocus that spans a small number of pixels in images. This type of blur is common during photo taking. Although it is not strong, the slight edge blurriness contains informative clues related to depth. We found existing blur descriptors based on local information cannot distinguish this type of small blur reliably from unblurred structures. We propose a simple yet effective blur feature via sparse representation and image decomposition. It directly establishes correspondence between sparse edge representation and blur strength estimation. Extensive experiments manifest the generality and robustness of this feature.

Original language	English
Title of host publication	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Publisher	IEEE Computer Society
Pages	657-665
Number of pages	9
ISBN (Electronic)	9781467369640
DOIs	https://doi.org/10.1109/CVPR.2015.7298665
Publication status	Published - 14 Oct 2015
Externally published	Yes
Event	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 - Boston, United States Duration: 7 Jun 2015 → 12 Jun 2015

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	07-12-June-2015
ISSN (Print)	1063-6919

Conference

Conference	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Country/Territory	United States
City	Boston
Period	7/06/15 → 12/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/CVPR.2015.7298665

Cite this

Shi, J., Xu, L., & Jia, J. (2015). Just noticeable defocus blur detection and estimation. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 (pp. 657-665). Article 7298665 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 07-12-June-2015). IEEE Computer Society. https://doi.org/10.1109/CVPR.2015.7298665

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title = "Just noticeable defocus blur detection and estimation",

abstract = "We tackle a fundamental problem to detect and estimate just noticeable blur (JNB) caused by defocus that spans a small number of pixels in images. This type of blur is common during photo taking. Although it is not strong, the slight edge blurriness contains informative clues related to depth. We found existing blur descriptors based on local information cannot distinguish this type of small blur reliably from unblurred structures. We propose a simple yet effective blur feature via sparse representation and image decomposition. It directly establishes correspondence between sparse edge representation and blur strength estimation. Extensive experiments manifest the generality and robustness of this feature.",

author = "Jianping Shi and Li Xu and Jiaya Jia",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 ; Conference date: 07-06-2015 Through 12-06-2015",

year = "2015",

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doi = "10.1109/CVPR.2015.7298665",

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Shi, J, Xu, L & Jia, J 2015, Just noticeable defocus blur detection and estimation. in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015., 7298665, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 07-12-June-2015, IEEE Computer Society, pp. 657-665, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, United States, 7/06/15. https://doi.org/10.1109/CVPR.2015.7298665

Just noticeable defocus blur detection and estimation. / Shi, Jianping; Xu, Li; Jia, Jiaya.
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, 2015. p. 657-665 7298665 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 07-12-June-2015).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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Just noticeable defocus blur detection and estimation

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