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Hierarchical Frequency-based Upsampling and Refining for Compressed Video Quality Enhancement
March 19, 2024, 4:50 a.m. | Qianyu Zhang, Bolun Zheng, Xinying Chen, Quan Chen, Zhunjie Zhu, Canjin Wang, Zongpeng Li, Chengang Yan
cs.CV updates on arXiv.org arxiv.org
Abstract: Video compression artifacts arise due to the quantization operation in the frequency domain. The goal of video quality enhancement is to reduce compression artifacts and reconstruct a visually-pleasant result. In this work, we propose a hierarchical frequency-based upsampling and refining neural network (HFUR) for compressed video quality enhancement. HFUR consists of two modules: implicit frequency upsampling module (ImpFreqUp) and hierarchical and iterative refinement module (HIR). ImpFreqUp exploits DCT-domain prior derived through implicit DCT transform, and …
abstract arxiv compression cs.cv domain eess.iv hierarchical network neural network quality quantization reduce type video video compression video quality video quality enhancement work
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