Deep CNN Prior Based Image Reconstruction for Multispectral Imaging
| Autor: | Figen S. Oktem, Refik Mert Cam, Can Deniz Bezek, Irfan Manisali |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Optimization problem Artificial neural network business.industry Multispectral image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Iterative reconstruction Inverse problem 01 natural sciences Convolutional neural network Spectral imaging 010309 optics Computer Science::Computer Vision and Pattern Recognition 0103 physical sciences 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Focus (optics) |
| Zdroj: | SIU |
| Popis: | Spectral imaging is a widely used diagnostic technique in various fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this work, we focus on a multi-spectral imaging technique with a diffractive lens, which relies on computational imaging, and we develop a novel image reconstruction method that exploits convolutional neural networks. To reconstruct the spectral images from the measurements of the imaging system, the inverse problem is first formulated as a proper optimization problem with regularization. This optimization problem is then divided to subproblems by using the alternating direction method of multipliers, and the subproblem corresponding to a denoising problem is solved with a learning-based convolutional denoising neural network instead of an analytical method. The obtained results illustrate that the proposed method can achieve promising reconstruction performance. |
| Databáze: | OpenAIRE |
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