Robust image metamorphosis immune from ghost and blur

ISCAS OpenIR

	Robust image metamorphosis immune from ghost and blur
	Wu, Enhua (1); Liu, Feitong (1); Liu, F.(feiecm@qq.com)
	2013
页码	311-321
收录类别	SCI ; EI
出版地	Springer Verlag
ISSN	1782789
部门归属	(1) Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
摘要	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.; 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.
关键词	Image Morphing Warping Animation Graph Cut
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16497
专题	中国科学院软件研究所
通讯作者	Liu, F.(feiecm@qq.com)
推荐引用方式 GB/T 7714	Wu, Enhua ,Liu, Feitong ,Liu, F.. Robust image metamorphosis immune from ghost and blur[C]. Springer Verlag,2013:311-321.