SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations
Author:
Affiliation:
1. Washington University in St. Louis,Computational Imaging Group,USA,MO 63130
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095531.pdf?arnumber=10095531
Reference25 articles.
1. L0onie: Compressing COINs with L0-constraints;ramirez,2022
2. COIN++: Neural Compression Across Modalities;dupont,2022
3. Plug-and-Play priors for model based reconstruction
4. Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study
5. Implicit Neural Representations for Image Compression;strümpler,2021
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