2019/07/10 by Anastasia Zvezdakova, Zvezdakova, Anastasia, Sergey Zvezdakov +5 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Graphics (cs.GR) #Image Enhancement Techniques #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Image and Video Quality Assessment #Multimedia (cs.MM) #cs.GR #cs.MM #eess.IV #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1907.04807
openalex publication_date 2019/07/10 · arxiv created 2019/08/29 · arxiv updated 2019/08/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Video quality measurement takes an important role in many applications. Full-reference quality metrics which are usually used in video codecs comparisons are expected to reflect any changes in videos. In this article, we consider different color corrections of compressed videos which increase the values of full-reference metric VMAF and almost don't decrease other widely-used metric SSIM. The proposed video contrast enhancement approach shows the metric inapplicability in some cases for video codecs comparisons, as it may be used for cheating in the comparisons via tuning to improve this metric values.