Scope of validity of PSNR in image/video quality assessment
Abstract
Experimental data are presented that clearly demonstrate the scope of application of peak signal-to-noise ratio (PSNR) as a video quality metric. It is shown that as long as the video content and the codec type are not changed, PSNR is a valid quality measure. However, when the content is changed, correlation between subjective quality and PSNR is highly reduced. Hence PSNR cannot be a reliable method for assessing the video quality across different video contents.
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AES in Cipher Feedback mode (CFB) works as a stream-cipher.
“In the Cipher Feedback mode (CFB), AES works as a stream-cipher [28]”
From Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams (2019) · cites this paper as [28]
AES-CFB benefits from a self-synchronization mechanism for real-time transmission.
“and additionally benefits from a self-synchronization mechanism for real-time transmission.”
From Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams (2019) · cites this paper as [28]
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References 3 · Cited by 2,959
- Authors
- Huynh-Thu, Q., & Ghanbari, M.
- Affiliations
- Psytechnics Ltd, Fraser House, 23 Museum Street, Ipswich, IP1 1HN, United Kingdom
- University of Essex (GB)
- ORCID
- Ghanbari, M.
- Venue
- Electronics Letters
- Published
- 2008-06-19
- Volume
- 44
- Issue
- 13
- Pages
- 800-801
- ISSN
- 0013-5194 (ISSN-L)
- 1350-911X
- OpenAlex
- W2114770744
- Cited by
- 2,959
- References
- 3
- Citations by year
- 2026: 335 · 2025: 355 · 2024: 367 · 2023: 326 · 2022: 223 · 2021: 248 · 2020: 211 · 2019: 170 · 2018: 128 · 2017: 113 · 2016: 115 · 2015: 108 · 2014: 78 · 2013: 49 · 2012: 50
- FWCI
- 39.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronics Letters (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- PSNR, video quality assessment, objective quality metrics, subjective quality
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