An innovative face image enhancement based on principle component analysis
In this paper, we propose an innovative face hallucination approach based on principle component analysis (PCA) and residue technique. First, the relationship of projection coefficients between high-resolution and low-resolution images using PCA is investigated. Then based on this analysis, a high r...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/40390 |
| _version_ | 1848755857763860480 |
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| author | Xu, Xiang Liu, Wan-Quan Venkatesh, Svetha |
| author_facet | Xu, Xiang Liu, Wan-Quan Venkatesh, Svetha |
| author_sort | Xu, Xiang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we propose an innovative face hallucination approach based on principle component analysis (PCA) and residue technique. First, the relationship of projection coefficients between high-resolution and low-resolution images using PCA is investigated. Then based on this analysis, a high resolution global face image is constructed from a low resolution one. Next a high-resolution residue is derived based on the similarity between the projections on high and low resolution residue training sets. Finally by combining the global face and residue in high resolution, a high resolution face image is generated. Also the recursive and two-stage methods are proposed, which improve the results of face image enhancement. Extensive experiments validate the proposed approaches. |
| first_indexed | 2025-11-14T09:02:58Z |
| format | Journal Article |
| id | curtin-20.500.11937-40390 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:02:58Z |
| publishDate | 2012 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-403902017-09-13T13:39:37Z An innovative face image enhancement based on principle component analysis Xu, Xiang Liu, Wan-Quan Venkatesh, Svetha In this paper, we propose an innovative face hallucination approach based on principle component analysis (PCA) and residue technique. First, the relationship of projection coefficients between high-resolution and low-resolution images using PCA is investigated. Then based on this analysis, a high resolution global face image is constructed from a low resolution one. Next a high-resolution residue is derived based on the similarity between the projections on high and low resolution residue training sets. Finally by combining the global face and residue in high resolution, a high resolution face image is generated. Also the recursive and two-stage methods are proposed, which improve the results of face image enhancement. Extensive experiments validate the proposed approaches. 2012 Journal Article http://hdl.handle.net/20.500.11937/40390 10.1007/s13042-011-0060-x Springer restricted |
| spellingShingle | Xu, Xiang Liu, Wan-Quan Venkatesh, Svetha An innovative face image enhancement based on principle component analysis |
| title | An innovative face image enhancement based on principle component analysis |
| title_full | An innovative face image enhancement based on principle component analysis |
| title_fullStr | An innovative face image enhancement based on principle component analysis |
| title_full_unstemmed | An innovative face image enhancement based on principle component analysis |
| title_short | An innovative face image enhancement based on principle component analysis |
| title_sort | innovative face image enhancement based on principle component analysis |
| url | http://hdl.handle.net/20.500.11937/40390 |