1 research outputs found
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution
Coding 4K data has become of vital interest in recent years, since the amount
of 4K data is significantly increasing. We propose a coding chain with spatial
down- and upscaling that combines the next-generation VVC codec with machine
learning based single image super-resolution algorithms for 4K. The
investigated coding chain, which spatially downscales the 4K data before
coding, shows superior quality than the conventional VVC reference software for
low bitrate scenarios. Throughout several tests, we find that up to 12 % and 18
% Bjontegaard delta rate gains can be achieved on average when coding 4K
sequences with VVC and QP values above 34 and 42, respectively. Additionally,
the investigated scenario with up- and downscaling helps to reduce the loss of
details and compression artifacts, as it is shown in a visual example.Comment: Originally published as conference paper at QoMEX 202