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Robust image metamorphosis immune from ghost and blur
Enhua Wu1,2; Feitong Liu1,2
2013-04-01
Source PublicationThe Visual Computer
ISSN0178-2789
Volume29Issue:4Pages:311-321
Abstract

In this paper, we propose a novel method for the metamorphosis between two different images. By the approach, the transition sequence is generated by stitching two forward and backward warped sequences in a three-dimensional space along transition surface. In contrast to the traditional methods by blending two warped images at each intermediate frame, we continuously warp images on opposite direction without blending until the two warped images match in a three-dimensional space leading to a better transition in quality. Furthermore, for each pixel, we make decision of choosing a given input image best suitable so as to produce plausible in-between images to prevent from ghost and blur. By our scheme, the transition surface is computed by minimizing an energy function in terms of graph-cut optimization. Depending on the transition surface, a warp function is proposed to create a smooth and clear transformation. We demonstrate the advantage of our framework by performing transformation test to various kinds of image couples. © 2012 Springer-Verlag.

KeywordAnimation Graph Cut Image Morphing Warping
DOI10.1007/s00371-012-0734-8
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000316784200008
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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China
2.State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Enhua Wu,Feitong Liu. Robust image metamorphosis immune from ghost and blur[J]. The Visual Computer,2013,29(4):311-321.
APA Enhua Wu,&Feitong Liu.(2013).Robust image metamorphosis immune from ghost and blur.The Visual Computer,29(4),311-321.
MLA Enhua Wu,et al."Robust image metamorphosis immune from ghost and blur".The Visual Computer 29.4(2013):311-321.
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