Real-World Deep Local Motion Deblurring Article Swipe
Haoying Li
,
Ziran Zhang
,
Tingting Jiang
,
Peng Luo
,
Huajun Feng
,
Zhihai Xu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v37i1.25215
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v37i1.25215
Most existing deblurring methods focus on removing global blur caused by camera shake, while they cannot well handle local blur caused by object movements. To fill the vacancy of local deblurring in real scenes, we establish the first real local motion blur dataset (ReLoBlur), which is captured by a synchronized beam-splitting photographing system and corrected by a post-progressing pipeline. Based on ReLoBlur, we propose a Local Blur-Aware Gated network (LBAG) and several local blur-aware techniques to bridge the gap between global and local deblurring: 1) a blur detection approach based on background subtraction to localize blurred regions; 2) a gate mechanism to guide our network to focus on blurred regions; and 3) a blur-aware patch cropping strategy to address data imbalance problem. Extensive experiments prove the reliability of ReLoBlur dataset, and demonstrate that LBAG achieves better performance than state-of-the-art global deblurring methods and our proposed local blur-aware techniques are effective.
Related Topics
Concepts
Deblurring
Motion blur
Computer vision
Artificial intelligence
Computer science
Focus (optics)
Image restoration
Background subtraction
Image (mathematics)
Image processing
Pixel
Physics
Optics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v37i1.25215
- https://ojs.aaai.org/index.php/AAAI/article/download/25215/24987
- OA Status
- diamond
- Cited By
- 21
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382450485
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382450485Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/aaai.v37i1.25215Digital Object Identifier
- Title
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Real-World Deep Local Motion DeblurringWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-06-26Full publication date if available
- Authors
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Haoying Li, Ziran Zhang, Tingting Jiang, Peng Luo, Huajun Feng, Zhihai XuList of authors in order
- Landing page
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https://doi.org/10.1609/aaai.v37i1.25215Publisher landing page
- PDF URL
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https://ojs.aaai.org/index.php/AAAI/article/download/25215/24987Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/AAAI/article/download/25215/24987Direct OA link when available
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Deblurring, Motion blur, Computer vision, Artificial intelligence, Computer science, Focus (optics), Image restoration, Background subtraction, Image (mathematics), Image processing, Pixel, Physics, OpticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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21Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 12, 2023: 1Per-year citation counts (last 5 years)
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52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.2) | 97 |
| abstract_inverted_index.3) | 111 |
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| abstract_inverted_index.by | 10, 21, 47, 55 |
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| abstract_inverted_index.is | 45 |
| abstract_inverted_index.of | 28, 127 |
| abstract_inverted_index.on | 5, 60, 90, 107 |
| abstract_inverted_index.to | 75, 93, 101, 105, 117 |
| abstract_inverted_index.we | 34, 62 |
| abstract_inverted_index.and | 53, 70, 81, 110, 130, 142 |
| abstract_inverted_index.are | 148 |
| abstract_inverted_index.gap | 78 |
| abstract_inverted_index.our | 103, 143 |
| abstract_inverted_index.the | 26, 36, 77, 125 |
| abstract_inverted_index.LBAG | 133 |
| abstract_inverted_index.Most | 0 |
| abstract_inverted_index.blur | 8, 19, 41, 86 |
| abstract_inverted_index.data | 119 |
| abstract_inverted_index.fill | 25 |
| abstract_inverted_index.gate | 99 |
| abstract_inverted_index.real | 32, 38 |
| abstract_inverted_index.than | 137 |
| abstract_inverted_index.that | 132 |
| abstract_inverted_index.they | 14 |
| abstract_inverted_index.well | 16 |
| abstract_inverted_index.Based | 59 |
| abstract_inverted_index.Gated | 67 |
| abstract_inverted_index.Local | 65 |
| abstract_inverted_index.based | 89 |
| abstract_inverted_index.first | 37 |
| abstract_inverted_index.focus | 4, 106 |
| abstract_inverted_index.guide | 102 |
| abstract_inverted_index.local | 18, 29, 39, 72, 82, 145 |
| abstract_inverted_index.patch | 114 |
| abstract_inverted_index.prove | 124 |
| abstract_inverted_index.which | 44 |
| abstract_inverted_index.while | 13 |
| abstract_inverted_index.(LBAG) | 69 |
| abstract_inverted_index.better | 135 |
| abstract_inverted_index.bridge | 76 |
| abstract_inverted_index.camera | 11 |
| abstract_inverted_index.cannot | 15 |
| abstract_inverted_index.caused | 9, 20 |
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| abstract_inverted_index.handle | 17 |
| abstract_inverted_index.motion | 40 |
| abstract_inverted_index.object | 22 |
| abstract_inverted_index.shake, | 12 |
| abstract_inverted_index.system | 52 |
| abstract_inverted_index.address | 118 |
| abstract_inverted_index.between | 79 |
| abstract_inverted_index.blurred | 95, 108 |
| abstract_inverted_index.dataset | 42 |
| abstract_inverted_index.methods | 3, 141 |
| abstract_inverted_index.network | 68, 104 |
| abstract_inverted_index.propose | 63 |
| abstract_inverted_index.scenes, | 33 |
| abstract_inverted_index.several | 71 |
| abstract_inverted_index.vacancy | 27 |
| abstract_inverted_index.ReLoBlur | 128 |
| abstract_inverted_index.achieves | 134 |
| abstract_inverted_index.approach | 88 |
| abstract_inverted_index.captured | 46 |
| abstract_inverted_index.cropping | 115 |
| abstract_inverted_index.dataset, | 129 |
| abstract_inverted_index.existing | 1 |
| abstract_inverted_index.localize | 94 |
| abstract_inverted_index.problem. | 121 |
| abstract_inverted_index.proposed | 144 |
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| abstract_inverted_index.removing | 6 |
| abstract_inverted_index.strategy | 116 |
| abstract_inverted_index.Extensive | 122 |
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| abstract_inverted_index.detection | 87 |
| abstract_inverted_index.establish | 35 |
| abstract_inverted_index.imbalance | 120 |
| abstract_inverted_index.mechanism | 100 |
| abstract_inverted_index.pipeline. | 58 |
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| abstract_inverted_index.background | 91 |
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| abstract_inverted_index.deblurring | 2, 30, 140 |
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| abstract_inverted_index.techniques | 74, 147 |
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| abstract_inverted_index.experiments | 123 |
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| abstract_inverted_index.synchronized | 49 |
| abstract_inverted_index.photographing | 51 |
| abstract_inverted_index.beam-splitting | 50 |
| abstract_inverted_index.post-progressing | 57 |
| abstract_inverted_index.state-of-the-art | 138 |
| cited_by_percentile_year.max | 99 |
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| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
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| citation_normalized_percentile.is_in_top_10_percent | False |