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LIBERDOVÁ, I. KOLÁŘ, R.
Original Title
Video Quality Assessment in Experimental Retinal Imaging
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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 experts, and medians of BQE are increasing.
Keywords
retinal imaging, video quality assessment, cross correlation, noise
Authors
LIBERDOVÁ, I.; KOLÁŘ, R.
Released
29. 8. 2016
Publisher
Brno University of Technology
Location
Blansko
ISBN
978-80-214-5389-0
Book
Sborník příspěvků studentské konference Blansko
Edition
1
Edition number
Pages from
51
Pages to
54
Pages count
4
BibTex
@inproceedings{BUT127623, author="Ivana {Labounková} and Radim {Kolář}", title="Video Quality Assessment in Experimental Retinal Imaging", booktitle="Sborník příspěvků studentské konference Blansko", year="2016", series="1", number="1", pages="51--54", publisher="Brno University of Technology", address="Blansko", isbn="978-80-214-5389-0" }