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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…
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Keywords:
compression;
dct coefficients;
based dct;
compression artifacts ... See more keywords
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Published in 2018 at "IEEE Access"
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…
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Keywords:
compression;
video compression;
reduction video;
compression artifacts ... See more keywords
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2
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…
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Keywords:
multi scale;
scale;
compression artifacts;
inter communication ... See more keywords
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Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3403034
Abstract: With the benefit of deep learning techniques, recent researches have made significant progress in image compression artifacts reduction. Despite their improved performances, prevailing methods only focus on learning a mapping from the compressed image to…
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Keywords:
image;
artifacts reduction;
image compression;
compression ... See more keywords