2 papers
cs.CV2024
Machine vision-aware quality metrics for compressed image and video assessment
Mikhail Dremin, Konstantin Kozhemyakov, Ivan Molodetskikh +3
A main goal in developing video-compression algorithms is to enhance human-perceived visual quality while maintaining file size. But modern video-analysis efforts such as detection…
cs.CV2023
BASED: Benchmarking, Analysis, and Structural Estimation of Deblurring
Nikita Alutis, Egor Chistov, Mikhail Dremin +1
This paper discusses the challenges of evaluating deblurring-methods quality and proposes a reduced-reference metric based on machine learning. Traditional quality-assessment metri…