C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes
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UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
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- Authors
- Zhang, Y., Moorthy, A. K., Chandler, D. M., & Bovik, A. C.
- Affiliations
- Oklahoma State University (US)
- The University of Texas at Austin (US)
- Corresponding author
- Zhang, Yi
- Venue
- Signal Processing: Image Communication
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 29
- Issue
- 7
- Pages
- 725-747
- ISSN
- 0923-5965 (ISSN-L)
- OpenAlex
- W2131676517
- Cited by
- 102
- References
- 90
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 9 · 2021: 9 · 2020: 14 · 2019: 16 · 2018: 14 · 2017: 14 · 2016: 5 · 2015: 6
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Signal Processing Image Communication (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- no-reference image quality assessment, wavelet coefficient statistics, wrapped Cauchy distribution, structural similarity index, image distortion detection, natural image statistics
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