Image and multimedia processing using computational intelligence
This project investigates two applications in image and multimedia processing, namely: (i) blind image deconvolution, and (ii) content-based image retrieval (CBIR). Computational intelligence, which offers instrumental mathematical modeling of artificial intelligence, is employed in this project due...
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| Format: | Research Report |
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2008
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| Online Access: | http://hdl.handle.net/10356/2913 |
| _version_ | 1826128573853859840 |
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| author | Yap, Kim Hui. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Yap, Kim Hui. |
| author_sort | Yap, Kim Hui. |
| collection | NTU |
| description | This project investigates two applications in image and multimedia processing, namely: (i) blind image deconvolution, and (ii) content-based image retrieval (CBIR). Computational intelligence, which offers instrumental mathematical modeling of artificial intelligence, is employed in this project due to their effectiveness. The main principles of the proposed algorithms can be described concisely as: identification of useful a priori information, integration of extracted knowledge into the schemes, and development of appropriate computational techniques to optimize the cost function. The requirements for systematic signal identification, intelligent information integration, and robust optimization point to computational intelligence techniques. Two categories of computational intelligence, namely neural networks and fuzzy systems are employed in our work. |
| first_indexed | 2024-10-01T07:27:07Z |
| format | Research Report |
| id | ntu-10356/2913 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:27:07Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/29132023-03-04T03:24:00Z Image and multimedia processing using computational intelligence Yap, Kim Hui. School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This project investigates two applications in image and multimedia processing, namely: (i) blind image deconvolution, and (ii) content-based image retrieval (CBIR). Computational intelligence, which offers instrumental mathematical modeling of artificial intelligence, is employed in this project due to their effectiveness. The main principles of the proposed algorithms can be described concisely as: identification of useful a priori information, integration of extracted knowledge into the schemes, and development of appropriate computational techniques to optimize the cost function. The requirements for systematic signal identification, intelligent information integration, and robust optimization point to computational intelligence techniques. Two categories of computational intelligence, namely neural networks and fuzzy systems are employed in our work. 2008-09-17T09:17:03Z 2008-09-17T09:17:03Z 2004 2004 Research Report http://hdl.handle.net/10356/2913 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Yap, Kim Hui. Image and multimedia processing using computational intelligence |
| title | Image and multimedia processing using computational intelligence |
| title_full | Image and multimedia processing using computational intelligence |
| title_fullStr | Image and multimedia processing using computational intelligence |
| title_full_unstemmed | Image and multimedia processing using computational intelligence |
| title_short | Image and multimedia processing using computational intelligence |
| title_sort | image and multimedia processing using computational intelligence |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/2913 |
| work_keys_str_mv | AT yapkimhui imageandmultimediaprocessingusingcomputationalintelligence |