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Deep learning-based artifacts removal in video compression
(2021)
The block-based coding structure in the hybrid video coding framework inevitably introduces compression artifacts such as blocking, ringing, etc. To compensate for those artifacts, extensive filtering techniques were proposed in the loop of video...
Compression for Machine Vision and Beyond
(2020)
Compression has been one of the most fundamental and elusive challenges in both academia and industry. With the sheer increase of high-definition video content over the internet, developing improved compression algorithms becomes an urgent necessity...
Advanced Light Field Frame Prediction For Optimized Compression
(University of Missouri--Kansas City, 2017)
Current light field compression techniques lack robustness to handle both rate
distortion optimized motion compensation as well as latency during the encoding and
decoding process. This paper focuses on a contribution ...
Vision task driven image super-resolution and image enhancement
(2021)
In visual object recognition problems, low-light exposure, and low-quality images present great challenges in a variety of navigation and surveillance use cases. Recent advancements in deep learning-based methods may ...