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- W2016147270 abstract "A New Global Full-Reference Image Quality System based on classification and fusion scheme is proposed. It consistsof many steps. The first step is devoted to the identification of the type of degradation contained in a given image based aLinear Discriminant Analysis (LDA) classifier using some common Image Quality Metric (IQM) as feature inputs. AnIQM per degradation (IQM-D) is then used to estimate the quality of the image. For a given degradation type, theappropriate IQM-D is derived by combining the top three best IQMs using an Artificial Neural Network model. Theperformance of the proposed scheme is evaluated first in terms of good degradation identification. Then, for eachdistortion type the image quality estimation is evaluated in terms of good correlation with the subjective judgments usingthe TID 2008 image database." @default.
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- W2016147270 date "2011-01-23" @default.
- W2016147270 modified "2023-10-01" @default.
- W2016147270 title "Image quality assessment based on distortion identification" @default.
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- W2016147270 doi "https://doi.org/10.1117/12.876308" @default.
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