Modern Methods for Image Quality Assessment

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436-novacek.pdf(662.29 KB)
Date
2016
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This paper deals with the comparison of Image Quality Assessment (IQA) algorithms. The test gallery of colour calibre images were captured for comparison of IQA algorithms. Test gallery was captured by two cameras with a different type of sensors – CMOS with Bayer mask and a Foveon sensor.
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Keywords
Image Quality Assessment, Mean Squared Error, Peak Signal to Noise Ratio, Universal Quality Index, Structural Similarity Index, Edge Strength Similarity
Citation
Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 436-440. ISBN 978-80-214-5350-0
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/83971
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Student EEICT 2016
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