NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising
Author:
Affiliation:
1. Elmore Family School of Electrical and Computer Engineering, Purdue University,West Lafayette,IN,U.S.A,47906
Funder
National Institutes of Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221939/10221894/10222621.pdf?arnumber=10222621
Reference21 articles.
1. SwinIR: Image Restoration Using Swin Transformer
2. FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
3. Radiometric CCD camera calibration and noise estimation
4. Restormer: Efficient Transformer for High-Resolution Image Restoration
5. Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
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1. Balancing the Encoder and Decoder Complexity in Image Compression for Classification;2024-04-22
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