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DNU Deep Non-Local Unrolling For Computational Spectral Imaging by bhardwajutkarshub7 is a document available to read on EtoBox.
What is DNU Deep Non-Local Unrolling For Computational Spectral Imaging about?
The paper presents DNU, a novel interpretable neural network for computational spectral imaging that integrates a data-driven prior to enhance spectral image reconstruction. By unrolling the reconstruction problem into a deep neural network, it effectively combines local and non-local correlations, achieving superior performance compared to existing methods. Extensive experiments validate its robustness and high spatial-spectral fidelity, making it a promising approach in the field.
- Author
- bhardwajutkarshub7
- Language
- EN