FPGA implementation of the procedures for video quality assessment

TL;DR

This paper presents an FPGA-based system capable of real-time 8K video quality assessment at 30 fps, calculating four metrics with high throughput, surpassing software solutions, and optimized through high-level language design.

Contribution

The paper introduces a high-performance FPGA implementation for real-time 8K video quality metrics calculation, achieving superior throughput and efficiency over traditional software methods.

Findings

Real-time processing of 8K video at 30 fps achieved.

Throughput of 2.19 GB/s surpasses software solutions.

High-level language used for architectural optimization.

Abstract

Video resolutions used in variety of media are constantly rising. While manufacturers struggle to perfect their screens it is also important to ensure high quality of displayed image. Overall quality can be measured using 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 the level of 30 frames per second. Throughput of 2.19 GB/s surpasses performance of pure software solutions. To concentrate on architectural optimization, the module was created using high level language.