Super-resolution of HEVC videos via convex optimization
Résumé
Super Resolution (SR) addresses the problem of image and
video upscaling. Most of the best performing SR methods do
not take into account any compression prior into the degradation
model. Consequently, compression artifacts can be undesirably
amplified during SR. In the present work, we propose
a novel HEVC-dedicated approach for embedding SR
results into a domain that closely fits the compressed observation.
Our main contribution is the inclusion of HEVC syntax
(block size, quantization parameters etc.) into the degradation
model. A recent convex optimization approach is used
to solve the associated minimization problem. Over a wide
range of resolutions and bitrates, we show that our method
improves the results obtained with state of the art SR.