Quantum-implementable selective reconstruction of high-resolution images
This paper, written for interdisciplinary audience, presents computational image reconstruction implementable by quantum optics. The input-triggered selection of a high-resolution image among many stored ones, and its reconstruction if the input is occluded or noisy, has been successfully simulated....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/5184/1/Quantum_implementable_selective_reconstruction_of_high_resolution_image.pdf |
| _version_ | 1825719050601234432 |
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| author | Peruš, M. Bischof, H. Caulfield, H.J. Loo, C.K. |
| author_facet | Peruš, M. Bischof, H. Caulfield, H.J. Loo, C.K. |
| author_sort | Peruš, M. |
| collection | UM |
| description | This paper, written for interdisciplinary audience, presents computational image reconstruction implementable by quantum optics. The input-triggered selection of a high-resolution image among many stored ones, and its reconstruction if the input is occluded or noisy, has been successfully simulated. The original algorithm, based on the Hopfield associative neural net, was transformed in order to enable its quantum-wave implementation based on holography. The main limitations of the classical Hopfield net are much reduced with the simulated new quantum-optical implementation. |
| first_indexed | 2024-03-06T05:13:44Z |
| format | Article |
| id | um.eprints-5184 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:13:44Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | um.eprints-51842013-03-19T01:16:00Z http://eprints.um.edu.my/5184/ Quantum-implementable selective reconstruction of high-resolution images Peruš, M. Bischof, H. Caulfield, H.J. Loo, C.K. T Technology (General) This paper, written for interdisciplinary audience, presents computational image reconstruction implementable by quantum optics. The input-triggered selection of a high-resolution image among many stored ones, and its reconstruction if the input is occluded or noisy, has been successfully simulated. The original algorithm, based on the Hopfield associative neural net, was transformed in order to enable its quantum-wave implementation based on holography. The main limitations of the classical Hopfield net are much reduced with the simulated new quantum-optical implementation. 2004 Article PeerReviewed application/pdf en http://eprints.um.edu.my/5184/1/Quantum_implementable_selective_reconstruction_of_high_resolution_image.pdf Peruš, M. and Bischof, H. and Caulfield, H.J. and Loo, C.K. (2004) Quantum-implementable selective reconstruction of high-resolution images. Applied Optics, 43 (33). pp. 6134-6138. ISSN 1539-4522, http://users.volja.net/mperus/apploptkup.pdf |
| spellingShingle | T Technology (General) Peruš, M. Bischof, H. Caulfield, H.J. Loo, C.K. Quantum-implementable selective reconstruction of high-resolution images |
| title | Quantum-implementable selective reconstruction of high-resolution images |
| title_full | Quantum-implementable selective reconstruction of high-resolution images |
| title_fullStr | Quantum-implementable selective reconstruction of high-resolution images |
| title_full_unstemmed | Quantum-implementable selective reconstruction of high-resolution images |
| title_short | Quantum-implementable selective reconstruction of high-resolution images |
| title_sort | quantum implementable selective reconstruction of high resolution images |
| topic | T Technology (General) |
| url | http://eprints.um.edu.my/5184/1/Quantum_implementable_selective_reconstruction_of_high_resolution_image.pdf |
| work_keys_str_mv | AT peruam quantumimplementableselectivereconstructionofhighresolutionimages AT bischofh quantumimplementableselectivereconstructionofhighresolutionimages AT caulfieldhj quantumimplementableselectivereconstructionofhighresolutionimages AT loock quantumimplementableselectivereconstructionofhighresolutionimages |