Objects Reconstruction By Compressive Sensing from Single-pixel Registrations Using DMD
| Autor: | R S Starikov, P A Cheremkhin, Mikhail N. Kulakov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Physics::Instrumentation and Detectors
Image quality business.industry Computer science Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Binary number Object (computer science) Grayscale Digital micromirror device law.invention Quality (physics) Compressed sensing law Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | KnE Energy. 3:509 |
| ISSN: | 2413-5453 |
| DOI: | 10.18502/ken.v3i3.2065 |
| Popis: | Compressive sensing allows to reconstruct information from a number of sparse signals. Use of digital micromirror device (DMD) between object and single-pixel detector planes is example of sparse signals registration technique. Detection of illumination from the objects by a single-pixel detector using a DMD was modeled. Grayscale, binary and color object images were used as objects. By compressed sensing images obtained under various recording conditions were reconstructed. Obtained results were analyzed. Reconstruction quality estimations and processing times are given. Keywords: compressed sensing, single-pixel imaging, digital micromirror device, image quality. |
| Databáze: | OpenAIRE |
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