No-Reference Quality Assessment for 3D Synthesized Images Based on Visual-Entropy-Guided Multi-Layer Features Analysis Article Swipe
Chongchong Jin
,
Zongju Peng
,
Wenhui Zou
,
Fen Chen
,
Gangyi Jiang
,
Mei Yu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/e23060770
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/e23060770
Multiview video plus depth is one of the mainstream representations of 3D scenes in emerging free viewpoint video, which generates virtual 3D synthesized images through a depth-image-based-rendering (DIBR) technique. However, the inaccuracy of depth maps and imperfect DIBR techniques result in different geometric distortions that seriously deteriorate the users’ visual perception. An effective 3D synthesized image quality assessment (IQA) metric can simulate human visual perception and determine the application feasibility of the synthesized content. In this paper, a no-reference IQA metric based on visual-entropy-guided multi-layer features analysis for 3D synthesized images is proposed. According to the energy entropy, the geometric distortions are divided into two visual attention layers, namely, bottom-up layer and top-down layer. The feature of salient distortion is measured by regional proportion plus transition threshold on a bottom-up layer. In parallel, the key distribution regions of insignificant geometric distortion are extracted by a relative total variation model, and the features of these distortions are measured by the interaction of decentralized attention and concentrated attention on top-down layers. By integrating the features of both bottom-up and top-down layers, a more visually perceptive quality evaluation model is built. Experimental results show that the proposed method is superior to the state-of-the-art in assessing the quality of 3D synthesized images.
Related Topics
Concepts
Computer science
Artificial intelligence
Computer vision
Salient
Rendering (computer graphics)
Entropy (arrow of time)
Distortion (music)
Visualization
Metric (unit)
Pattern recognition (psychology)
Operations management
Physics
Economics
Quantum mechanics
Computer network
Bandwidth (computing)
Amplifier
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/e23060770
- https://www.mdpi.com/1099-4300/23/6/770/pdf?version=1624254127
- OA Status
- gold
- Cited By
- 5
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3174664133
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3174664133Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/e23060770Digital Object Identifier
- Title
-
No-Reference Quality Assessment for 3D Synthesized Images Based on Visual-Entropy-Guided Multi-Layer Features AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-06-18Full publication date if available
- Authors
-
Chongchong Jin, Zongju Peng, Wenhui Zou, Fen Chen, Gangyi Jiang, Mei YuList of authors in order
- Landing page
-
https://doi.org/10.3390/e23060770Publisher landing page
- PDF URL
-
https://www.mdpi.com/1099-4300/23/6/770/pdf?version=1624254127Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1099-4300/23/6/770/pdf?version=1624254127Direct OA link when available
- Concepts
-
Computer science, Artificial intelligence, Computer vision, Salient, Rendering (computer graphics), Entropy (arrow of time), Distortion (music), Visualization, Metric (unit), Pattern recognition (psychology), Operations management, Physics, Economics, Quantum mechanics, Computer network, Bandwidth (computing), AmplifierTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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