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- W3005788388 abstract "With the development of image quality assessment (IQA), the full-reference (FR) IQA algorithms are becoming more and more mature. This paper analyzes the performance of five FR natural scene (NS) IQA algorithms and three FR screen content (SC) IQA algorithms, and makes analysis on the eight IQA algorithms in terms of prediction performance and design principle. Experiments show, (1) the performance of perceptual similarity based IQA method proposed by Gu et al. is better; (2) the multi-scale technology plays an important role in improving the performance of algorithms. Finally, summarized and expounded the development direction of image quality evaluation." @default.
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- W3005788388 date "2020-01-01" @default.
- W3005788388 modified "2023-10-16" @default.
- W3005788388 title "Research on Influence of Content Diversity on Full-Reference Image Quality Assessment" @default.
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- W3005788388 doi "https://doi.org/10.1007/978-981-15-3341-9_23" @default.
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