A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging-Reference-Cited by-同舟云学术

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A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging

Published:2017-12 Issue:4 Volume:3 Page:633-646
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Aguerrebere Cecilia^ORCID,Almansa Andres^ORCID,Delon Julie,Gousseau Yann,Muse Pablo

Funder

French Research Agency (ANR)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6745852/8098624/07927722.pdf?arnumber=7927722

Cited by 31 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

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2. Joint Denoising and HDR for RAW Image Sequences;IEEE Transactions on Computational Imaging;2024

3. Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography;Inverse Problems and Imaging;2024

4. Deep snapshot HDR imaging using multi-exposure color filter array;The Visual Computer;2023-08-04

5. Pixel Optimization Using Iterative Pixel Compression Algorithm for Complementary Metal Oxide Semiconductor Image Sensors;Traitement du Signal;2023-04-30

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