NDLI: A Nonlinear <formula formulatype=inline><tex Notation=TeX>$L _{1}$</tex></formula>-Norm Approach for Joint Image Registration and Super-Resolution

Content Provider	IEEE Xplore Digital Library
Author	Kim-Hui Yap Yu He Yushuang Tian Lap-Pui Chau
Copyright Year	1994
Abstract	This letter proposes a nonlinear L ₁-norm approach for joint image registration and super-resolution (SR). Image SR is the fusion of multiple low-resolution (LR) images to produce a high-resolution (HR) image. Conventional SR algorithms are sensitive to the initial registration error and outliers in the LR images. In view of this, we present a new SR method to address these problems using L ₁-norm optimization in joint image registration and HR image reconstruction. Experimental results show that the proposed method is effective in handling these issues in the HR image reconstruction.
Sponsorship	IEEE Signal Processing Society
Starting Page	981
Ending Page	984
Page Count	4
File Size	874949
File Format	PDF
ISSN	10709908
Volume Number	16
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strontium Image reconstruction Image registration Image resolution Motion estimation Optimization methods Video surveillance Layout High-resolution imaging nonlinear algorithm image super-resolution $L _{1}$-norm
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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A Nonlinear $L _{1}$-Norm Approach for Joint Image Registration and Super-Resolution