Reduction of JPEG compression artifacts based on DCT coefficients prediction
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.015
Abstract: Abstract The image compression-decompression process causes image quality degradations such as blocking and ringing artifacts. A convolutional neural network based on DCT domain is proposed to learn the mapping relationship between JPEG images and original… read more here.
Keywords: compression; dct coefficients; based dct; compression artifacts ... See more keywords
Reduction of Video Compression Artifacts Based on Deep Temporal Networks
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DOI: 10.1109/access.2018.2876864
Abstract: It has been shown that deep convolutional neural networks (CNNs) reduce JPEG compression artifacts better than the previous approaches. However, the latest video compression standards have more complex artifacts than the JPEG, including the flickering… read more here.
Keywords: compression; video compression; reduction video; compression artifacts ... See more keywords
Multi-Scale Inter-Communication Spatio-Temporal Network for Video Compression Artifacts Reduction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3220951
Abstract: Video compression artifacts are widespread in online videos, which greatly affects the quality of the videos. In recent years, the deep learning-based methods for video compression artifacts reduction have made impressive achievements. However, most of… read more here.
Keywords: multi scale; scale; compression artifacts; inter communication ... See more keywords