Autor: Pietron, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: FPGA implementation of procedures for video quality assessment
Autorzy:: Wielgosz, M.
Karwatowski, M.
Pietron, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/305403.pdf
Data publikacji:: 2018
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:: video quality
video metrics
image processing
FPGA
Impulse C
Opis:: The video resolutions used in a variety of media are constantly rising. While manufacturers struggle to perfect their screens, it is also important to ensure the high quality of the displayed image. Overall quality can be measured using a Mean Opinion Score (MOS). Video quality can be affected by miscellaneous artifacts appearing at every stage of video creation and transmission. In this paper, we present a solution to calculate four distinct video quality metrics that can be applied to a real-time video quality assessment system. Our assessment module is capable of processing 8K resolution in real time set at a level of 30 frames per second. The throughput of 2.19 GB/s surpasses the performance of pure software solutions. The module was created using a high-level language to concentrate on architectural optimization.
Źródło:: Computer Science; 2018, 19 (3); 279-305
1508-2806
2300-7036
Pojawia się w:: Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Real time 8K video quality assessment using FPGA
Autorzy:: Wielgosz, M.
Pietroń, M.
Karwatowski, M.
Wiatr, K.
Powiązania:: https://bibliotekanauki.pl/articles/114403.pdf
Data publikacji:: 2016
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: video quality
video metrics
image processing
FPGA
Opis:: This paper presents a hardware architecture of the video quality assessment module. Two different metrics were implemented on FPGA using modern High Level Language for digital system design – Impulse C. FPGA resources consumption of the presented module is low, which enables module-level parallelization. Tests conducted for four modules working concurrently show that 1.96 GB/s throughput can be achieved. The module is capable of processing 8K video stream in a real-time manner i.e. 30 frames/second. Such high performance of the presented solution was achieved due to the series of architectural optimization introduced to the module, such as reduction of data precision and reuse of various module components.
Źródło:: Measurement Automation Monitoring; 2016, 62, 6; 187-189
2450-2855
Pojawia się w:: Measurement Automation Monitoring
Dostawca treści:: Biblioteka Nauki

Artykuł

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