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Video Transmission Artifacts Detection Using No-Reference Approach

2018 Zooming Innovation in Consumer Technologies Conference (ZINC), 2018
In real-time (RT) applications that include transmission of digital video, different artifacts (caused by compression and transmission processes) can appear in video received at the end-user side. In order to ensure high level of end-user Quality of Experience (QoE), video application/service providers have to continuously measure and monitor the ...
Herceg, Marijan   +3 more
openaire   +2 more sources

No-reference quality index for color retinal images

Computers in Biology and Medicine, 2017
Retinal image quality assessment (RIQA) is essential to assure that the images investigated by ophthalmologists or automatic systems are suitable for reliable medical diagnosis. Measure-based RIQA techniques have several advantages over the more commonly used binary classification-based RIQA methods. Numeric quality measures can aid ophthalmologists in
Lamiaa, Abdel-Hamid   +2 more
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No-Reference Image Quality Metrics for Structural MRI

Neuroinformatics, 2006
Neuroimagery must be visually checked for unacceptable levels of distortion prior to processing. However, inspection is time-consuming, unreliable for detecting subtle distortions and often subjective. With the increasing volume of neuroimagery, objective measures of quality are needed in order to automate screening.
Jeffrey P, Woodard   +1 more
openaire   +2 more sources

No-reference local image quality evaluation

2022 30th Telecommunications Forum (TELFOR), 2022
Ana Gavrovska   +4 more
openaire   +1 more source

No-reference blurred image quality assessment

3rd European Workshop on Visual Information Processing, 2011
In the aim to reduce blur in images, one could perform a No-Reference image quality assessment to control blur reduction. In this paper, a novel No-Reference blur image quality metric is proposed. This approach is based on a new Multiplicative Multiresolution Decomposition MMD. The blur is analyzed through MMD scales and a blur metric is deduced.
openaire   +1 more source

No-Reference Image Quality Assessment

2006
Zhou Wang, Alan C. Bovik
openaire   +1 more source

No References to Hired Labor

Chinese Law & Government, 1991
openaire   +1 more source

No-Reference Segmentation Annotation Quality Assessment

2024 IEEE International Conference on Multimedia and Expo (ICME)
Zheng Lin   +3 more
openaire   +1 more source

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