On the Importance of Denoising when Learning to Compress Images-Reference-Cited by-同舟云学术

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On the Importance of Denoising when Learning to Compress Images

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Brummer Benoit¹,De Vleeschouwer Christophe²

Affiliation:

1. University of Louvain,IntoPIX,Mont-Saint-Guibert,Belgium

2. University of Louvain,Louvain-la-Neuve,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030876.pdf?arnumber=10030876

Reference24 articles.

1. Image denoising via lossy compression and wavelet thresholding

2. Multiscale structural similarity for image quality assessment

3. Toward Interactive Modulation for Photo-Realistic Image Restoration

4. Towards image denoising in the latent space of learning-based compression

5. Image denoising with block-matching and 3D filtering

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep underwater image compression for enhanced machine vision applications;Frontiers in Marine Science;2024-07-15

2. Transformer-Based Learned Image Compression for Joint Decoding and Denoising;2024 Picture Coding Symposium (PCS);2024-06-12

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