arXiv Open Access 2020

MXR-U-Nets for Real Time Hyperspectral Reconstruction

Atmadeep Banerjee Akash Palrecha

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Abstrak

In recent times, CNNs have made significant contributions to applications in image generation, super-resolution and style transfer. In this paper, we build upon the work of Howard and Gugger, He et al. and Misra, D. and propose a CNN architecture that accurately reconstructs hyperspectral images from their RGB counterparts. We also propose a much shallower version of our best model with a 10% relative memory footprint and 3x faster inference, thus enabling real-time video applications while still experiencing only about a 0.5% decrease in performance.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (2)

Atmadeep Banerjee

Akash Palrecha

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APA MLA BibTeX

Banerjee, A., Palrecha, A. (2020). MXR-U-Nets for Real Time Hyperspectral Reconstruction. https://arxiv.org/abs/2004.07003

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓