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- W2539372011 abstract "In this paper, we propose a global framework to estimate the quality of multiply degraded images with reference (Full Reference approach). Our method is based on features fusion using a Support Vector Regression (SVR) model. The selected features are here some quality indexes obtained by comparing the reference image and its degraded version. Some of these features are based on Human Visual System (HVS), while some others are based on structural information or mutual information. The proposed method has been evaluated through the LIVE Multiply Distorted Image Quality Database, composed of 450 degraded images. The obtained results are compared to 12 recent image quality metrics." @default.
- W2539372011 created "2016-10-28" @default.
- W2539372011 creator A5031504099 @default.
- W2539372011 date "2016-01-01" @default.
- W2539372011 modified "2023-09-23" @default.
- W2539372011 title "An Image Quality Metric with Reference for Multiply Distorted Image" @default.
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- W2539372011 doi "https://doi.org/10.1007/978-3-319-48680-2_42" @default.
- W2539372011 hasPublicationYear "2016" @default.
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