NDLI: Single sub-image matching based low complexity motion estimation for digital image stabilization using constrained one-bit transform

Content Provider	IEEE Xplore Digital Library
Author	Urhan, O. Erturk, S.
Copyright Year	1975
Abstract	A fast motion estimation approach based on single sub-image bit-plane matching for low complexity image stabilization is presented in this paper. The recently proposed one-bit transform (IBT) based motion estimation method for digital image stabilization which employs multiple sub-images has lower computational complexity, however the motion estimation accuracy is relatively low. Single sub-image matching proposed in this paper enhances motion estimation performance without causing additional computational load. Furthermore, the multiplication operation required for IBT is avoided using a new kernel. The recently proposed constrained IBT (C-IBT) that restricts pixels with values adjacent to the transform threshold is employed to increase performance at the cost of a slightly higher computational load. Experimental results show that the proposed approach outperforms other sub-image based approaches
Sponsorship	IEEE Consumer Electronics Society
File Size	339067
File Format	PDF
ISSN	00983063
Volume Number	52
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Digital images Cameras Fluctuations Computational complexity Image sequences Hardware Kernel Costs High performance computing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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