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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 17., Seite 2063-2076
|
|---|
| 1. Verfasser: |
Fu, Haisheng
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Liang, Feng,
Lin, Jianping,
Li, Bing,
Akbari, Mohammad,
Liang, Jie,
Zhang, Guohe,
Liu, Dong,
Tu, Chengjie,
Han, Jingning |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2023
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|