Video Quality Assessment in Experimental Retinal Imaging

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120035" target="_blank" >RIV/00216305:26220/16:PU120035 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Video Quality Assessment in Experimental Retinal Imaging
Original language description
This paper is focused on video quality assessment of experimental retinal video image sequences with two different approaches (automatic and expert analysis). Methods utilizing both video quality evaluations are presented and described within the paper. Evaluations consider the most frequent retinal imaging artefacts (contrast distortion, noise and blurriness). Automatic evaluating algorithm estimates the image quality based on three different parameters characterizing the image over time (signal to noise ratio - SNR, blurriness quality evaluation - BQE and contrast quality evaluation - CQE). Four different experts performed the evaluation with their subjective image perceiving and assess the degree of noise, blurriness and contrast in the images over time. The reliability of proposed algorithm for automatic retinal image video quality assessment seems to be correct for all three parameters. Medians of SNR as well as the medians of CQE are decreasing with decreasing image quality evaluated with 4 expe
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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