Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the latest standard Versatile Video Coding (VVC) in both PSNR and MS-SSIM metrics. Two key components of learned image compression are the entropy...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 17., Seite 2063-2076
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| Auteur principal: |
Fu, Haisheng
(Auteur) |
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| Autres auteurs: |
Liang, Feng,
Lin, Jianping,
Li, Bing,
Akbari, Mohammad,
Liang, Jie,
Zhang, Guohe,
Liu, Dong,
Tu, Chengjie,
Han, Jingning |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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