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- W2956065723 abstract "Significant progress has been made in the past decade for full-reference image quality assessment (FR-IQA). However, new large scale image quality databases have been released for evaluating image quality assessment algorithms. In this study, our goal is to give a comprehensive evaluation of state-of-the-art FR-IQA metrics using the recently published KADID-10k database which is largest available one at the moment. Our evaluation results and the associated discussions is very helpful to obtain a clear understanding about the status of state-of-the-art FR-IQA metrics." @default.
- W2956065723 created "2019-07-12" @default.
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- W2956065723 date "2019-07-03" @default.
- W2956065723 modified "2023-09-27" @default.
- W2956065723 title "A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k" @default.
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