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: | , , , |
|---|---|
| Format: | Article |
| Published: |
2004
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2426/ |
| _version_ | 1848790052963876864 |
|---|---|
| author | Perus, Mitja Bischof, Horst Caulfield, H. John Loo, Chu Kiong |
| author_facet | Perus, Mitja Bischof, Horst Caulfield, H. John Loo, Chu Kiong |
| author_sort | Perus, Mitja |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. (C) 2004 Optical Society of America. |
| first_indexed | 2025-11-14T18:06:29Z |
| format | Article |
| id | mmu-2426 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:06:29Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-24262011-08-22T02:16:38Z http://shdl.mmu.edu.my/2426/ Quantum-Implementable Selective Reconstruction of High-Resolution Images Perus, Mitja Bischof, Horst Caulfield, H. John Loo, Chu Kiong TA Engineering (General). Civil engineering (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. (C) 2004 Optical Society of America. 2004-11 Article NonPeerReviewed Perus, Mitja and Bischof, Horst and Caulfield, H. John and Loo, Chu Kiong (2004) Quantum-Implementable Selective Reconstruction of High-Resolution Images. Applied Optics, 43 (33). pp. 6134-6138. ISSN 0003-6935 http://dx.doi.org/10.1364/AO.43.006134 doi:10.1364/AO.43.006134 doi:10.1364/AO.43.006134 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Perus, Mitja Bischof, Horst Caulfield, H. John Loo, Chu Kiong 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 | TA Engineering (General). Civil engineering (General) |
| url | http://shdl.mmu.edu.my/2426/ http://shdl.mmu.edu.my/2426/ http://shdl.mmu.edu.my/2426/ |