Overlapped block-based compressive sensing imaging on mobile handset devices
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Antioquia
2014
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| _version_ | 1876446015470436352 |
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| author | Irene Manotas Gutiérrez |
| author_facet | Irene Manotas Gutiérrez |
| contents | Overlapped block-based compressive sensing imaging on mobile handset devices Irene Manotas Gutiérrez Henry Arguello Fuentes Ingeniería sparse recovery sparse recovery Compressive sensing Compressive sensing mobile handset devices Compressive Sensing (CS) is a new technique that simultaneously senses and compresses an image by taking a set of random projections from the underlying scene. An optimization algorithm is then used to recover the initial image. In practice, these optimization algorithms have restricted CS techniques to be implemented on high performance computational architectures, such as personal computers or graphical processing units (GPU) due the huge number of operations required for the image recovery. This work extends the application of CS to be implemented in an extremely limited memory and processing architecture such as a mobile device. Specifically, overlapped blocking-based algorithms are developed such that it is possible to reconstruct an image on a mobile device. An analysis of the energy consumption of the block-based CS algorithms is presented. The results show the required computational time for reconstruction and the image reconstruction quality for images of 128x128 and 256x256 pixels. 2014 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43030033016 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.70 |
| format | Artículo científico |
| id | redalyc_43030033016 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad de Antioquia |
| spellingShingle | Overlapped block-based compressive sensing imaging on mobile handset devices Irene Manotas Gutiérrez Ingeniería sparse recovery sparse recovery Compressive sensing Compressive sensing mobile handset devices Overlapped block-based compressive sensing imaging on mobile handset devices Irene Manotas Gutiérrez Henry Arguello Fuentes Ingeniería sparse recovery sparse recovery Compressive sensing Compressive sensing mobile handset devices Compressive Sensing (CS) is a new technique that simultaneously senses and compresses an image by taking a set of random projections from the underlying scene. An optimization algorithm is then used to recover the initial image. In practice, these optimization algorithms have restricted CS techniques to be implemented on high performance computational architectures, such as personal computers or graphical processing units (GPU) due the huge number of operations required for the image recovery. This work extends the application of CS to be implemented in an extremely limited memory and processing architecture such as a mobile device. Specifically, overlapped blocking-based algorithms are developed such that it is possible to reconstruct an image on a mobile device. An analysis of the energy consumption of the block-based CS algorithms is presented. The results show the required computational time for reconstruction and the image reconstruction quality for images of 128x128 and 256x256 pixels. 2014 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43030033016 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.70 |
| title | Overlapped block-based compressive sensing imaging on mobile handset devices |
| topic | Ingeniería sparse recovery sparse recovery Compressive sensing Compressive sensing mobile handset devices |
| url | https://www.redalyc.org/articulo.oa?id=43030033016 |