During lossy video compression, a blocking artifact is introduced into a video. It can significantly reduce the quality of a compressed video, and consequently end-user Quality of Experience. Hence, it is very important to measure and monitor the quality of compressed videos delivered to the end-user, which can be performed only by using the no-reference (NR) approach, without the original video signal available. Many NR video quality assessment (VQA) metrics are based on measurements of different artifacts visibility, which are then used as an input for an objective NR VQA metric. Thus, reliable artifacts detection and their visibility estimation are the first step in a reliable VQA process. In this paper, a new algorithm for Real-Time NR Blocking Visibility Estimation (RT-BVE) in video frames is proposed. The performance of the proposed RT-BVE algorithm is compared to the performance of two freely available algorithms, i.e., BBT-BDA and MSU Blocking, using videos from the well-known databases (156 video sequences in total and more than 48,000 frames). While RT-BVE achieves performance comparable to BBT-BDA and MSU Blocking algorithms for MPEG-2 videos, it outperforms both algorithms for H.264 videos. The results show that the proposed RT-BVE algorithm can precisely estimate blocking visibility in video frames for videos compressed according to different compression standards by using a fixed set of algorithm parameter values. Additionally, RT-BVE is suitable for usage in real-time applications since it is capable of processing approximately 100 Full HD video frames per second on the current midrange × 86–64 platform.

在有损视频压缩期间，会将阻塞伪像引入视频。它会大大降低压缩视频的质量，从而降低最终用户的体验质量。因此，测量和监视交付给最终用户的压缩视频的质量非常重要，这只能通过使用无参考（NR）方法来执行，而没有原始视频信号可用。许多NR视频质量评估（VQA）指标都是基于对不同伪像可见性的测量，然后将其用作客观NR VQA指标的输入。因此，可靠的伪像检测及其可见性估计是可靠的VQA过程的第一步。本文提出了一种新的视频帧实时NR块可见性估计算法。使用知名数据库中的视频（总共156个视频序列和超过48,000帧），将提出的RT-BVE算法的性能与两种免费可用算法（即BBT-BDA和MSU分组）的性能进行了比较。尽管RT-BVE的性能可与MPEG-2视频的BBT-BDA和MSU阻塞算法相媲美，但其性能却优于H.264视频的两种算法。结果表明，通过使用一组固定的算法参数值，针对不同的压缩标准压缩的视频，提出的RT-BVE算法可以精确估计视频帧中的块可见性。此外，由于RT-BVE能够在当前的中档×86-64平台上每秒处理约100个全高清视频帧，因此它适合实时应用。