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An Image Augmentation Method for Quality Assessment Database
Yucheng Zhu1; Guangtao Zhai1; Wenhan Zhu1; Jiantao Zhou2
2018
Conference NameIEEE International Symposium on Circuits and Systems (ISCAS)
Source Publication2018 IEEE International Symposium on Circuits and Systems (ISCAS)
Conference Date27-30 May 2018
Conference PlaceFlorence, Italy
Abstract

Image databases for quality assessment are helpful to evaluate the performance of objective assessment methods. Recommendations in regard to the constitution of databases and experimental methods of the subjective assessment have been proposed to ensure the database a good ground truth for the validation of objective quality assessment methods. However, these restrictions make databases scale-limited by covering small number of scenes distorted by few levels. To enrich IQA databases and increase the generalization capability of IQA models, we devise an effective image augmentation method. The two-stages scheme consists of the image-label pairs generation by minimizing the free energy between the pristine image and its augmentation as well as the distortion level interpolation which is based on the monotonicity of the perceptual quality with the severity of distortion. The experimental results show the ability of the augmented database to improve the prediction accuracy of learning-based no-reference image quality assessment metrics which in turn demonstrates the effectiveness of our method.

KeywordImage Quality Assessment ( Iqa ) No-reference Image Augmentation Generalization Capability
DOIhttp://doi.org/10.1109/ISCAS.2018.8350941
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000451218700055
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China
2.Department of Computer and Information Science, University of Macau, Macau
Recommended Citation
GB/T 7714
Yucheng Zhu,Guangtao Zhai,Wenhan Zhu,et al. An Image Augmentation Method for Quality Assessment Database[C],2018.
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