Residential College | false |
Status | 已發表Published |
Robust image metamorphosis immune from ghost and blur | |
Enhua Wu1,2; Feitong Liu1,2 | |
2013-04-01 | |
Source Publication | The Visual Computer |
ISSN | 0178-2789 |
Volume | 29Issue: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. |
Keyword | Animation Graph Cut Image Morphing Warping |
DOI | 10.1007/s00371-012-0734-8 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Computer Science |
WOS Subject | Computer Science, Software Engineering |
WOS ID | WOS:000316784200008 |
Publisher | SPRINGER, ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES |
Scopus ID | 2-s2.0-84876463912 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology |
Corresponding Author | Feitong Liu |
Affiliation | 1.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 Affilication | Faculty of Science and Technology |
Corresponding Author Affilication | Faculty 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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