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dc.contributor.authorLiang, Yan
dc.contributor.authorlai, Jian-huang
dc.contributor.authorXie, Xiaohua
dc.contributor.authorLiu, Wan-quan
dc.contributor.editorA. Salah, T. Gevers, N. Sebe and A. Vinciarelli
dc.date.accessioned2017-01-30T10:50:41Z
dc.date.available2017-01-30T10:50:41Z
dc.date.created2010-12-12T20:03:40Z
dc.date.issued2010
dc.identifier.citationLiang, Y. and lai, J.and Xie, X. and Liu, Wan-quan. 2010. Face hallucination under an image decomposition perspective, in A. Salah, T. Gevers, N. Sebe and A. Vinciarelli (ed), 20th International Conference on Pattern Recognition (ICPR 2010), Aug 23 2010, pp. 2158-2161. Istanbul, Turkey: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/6113
dc.description.abstract

In this paper we propose to convert the task of face hallucination into an image decomposition problem, and thenuse the morphological component analysis (MCA) for hallucinating a single face image, based on a novel three-stepframework. Firstly, a low-resolution input image is up-sampled by interpolation. Then, the MCA is employed to decompose the interpolated image into a high-resolution image and an unsharp masking, as MCA can properly decompose a signal into special parts according to typical dictionaries. Finally, a residue compensation, which is based on the neighbour reconstruction of patches, is performed to enhance the facial details. The proposed method can effectively exploit the facial properties for face hallucination under the image decomposition perspective. Experimental results demonstrate the effectiveness of our method, in terms of the visual quality of the hallucinated face images.

dc.publisherSpringer
dc.subjectprincipal component analysis
dc.subjectresidue compensation
dc.subjectface hallucination
dc.subjectimage decomposition
dc.subjectmorphological component analysis
dc.titleFace hallucination under an image decomposition perspective
dc.typeConference Paper
dcterms.source.startPage2158
dcterms.source.endPage2161
dcterms.source.titleLecture Notes in computer science 6219
dcterms.source.seriesLecture Notes in computer science 6219
dcterms.source.isbn9783642147142
dcterms.source.conference20th International Conference on Pattern Recognition (ICPR 2010)
dcterms.source.conference-start-dateAug 23 2010
dcterms.source.conferencelocationIstanbul, Turkey
dcterms.source.placeNew York
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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