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Article

An iterative super-resolution reconstruction of image sequences using affine block-based registration

Authors:

V. Patanavijit,

S. JitapunkulAuthors Info & Claims

IWCMC '06: Proceedings of the 2006 international conference on Wireless communications and mobile computing

Pages 51 - 56

https://doi.org/10.1145/1143549.1143562

Published: 03 July 2006 Publication History

Abstract

Super-resolution reconstruction produces one or a set of high-resolution (HR) images from a sequence of low-resolution (LR) images. Due to translational registration, super-resolution reconstruction can apply only on the sequences that have simple translation motion. This paper proposed a novel super-resolution reconstruction that that can apply on real sequences or complex motion sequences. The proposed super-resolution reconstruction uses a high accuracy registration algorithm, the fast affine block-based registration [16], in the maximum likelihood framework. Moreover, the regularization is used to compensate the missing measurement information. The experimental results show that the proposed reconstruction can apply on real sequence such as Foreman and Suzie.

References

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[16]

V. Patanavijit and S. Jitapunkul, A Modified Three-Step Search Algorithm for Fast Affine Block Base Motion Estimation, International Workshop on Advanced Image Technology 2006 (IWAIT 2006), Okinawa, Japan, Jan. 2006.

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Cited By

Thakulsukanant KPatanavijit V(2017)A novel resolution enhancement established on an iterative regularized ML MSRR and high-frequency pre-determining SSRR for ultra-magnification rate2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)10.1109/ECTICon.2017.8096186(115-118)Online publication date: Jun-2017
https://doi.org/10.1109/ECTICon.2017.8096186
Nasrollahi KMoeslund T(2014)Super-resolutionMachine Vision and Applications10.1007/s00138-014-0623-425:6(1423-1468)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1007/s00138-014-0623-4
Panagiotopoulou AAnastassopoulos V(2012)Super-resolution image reconstruction techniquesInformation Fusion10.1016/j.inffus.2010.11.00513:3(185-195)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.inffus.2010.11.005
Show More Cited By

Index Terms

An iterative super-resolution reconstruction of image sequences using affine block-based registration
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Reconstruction
  2. Computer graphics
    1. Image manipulation

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Iterative-Interpolation Super-Resolution Image Reconstruction: A Computationally Efficient Technique

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Published In

cover image ACM Conferences

IWCMC '06: Proceedings of the 2006 international conference on Wireless communications and mobile computing

July 2006

2006 pages

ISBN:1595933069

DOI:10.1145/1143549

General Chairs:
Seizo Onoe
NTT DoCoMo Inc., Japan
,
Mohsen Guizani
Western Michigan University
,
Hsiao-Hwa Chen
National Sun Yat-Sen University, Taiwan
,
Mamoru Sawahashi
NTT DoCoMo Inc., Japan

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 03 July 2006

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IWCMC06: 2006 International Wireless Communications and Mobile Computing Conference

July 3 - 6, 2006

British Columbia, Vancouver, Canada

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Cited By

Thakulsukanant KPatanavijit V(2017)A novel resolution enhancement established on an iterative regularized ML MSRR and high-frequency pre-determining SSRR for ultra-magnification rate2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)10.1109/ECTICon.2017.8096186(115-118)Online publication date: Jun-2017
https://doi.org/10.1109/ECTICon.2017.8096186
Nasrollahi KMoeslund T(2014)Super-resolutionMachine Vision and Applications10.1007/s00138-014-0623-425:6(1423-1468)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1007/s00138-014-0623-4
Panagiotopoulou AAnastassopoulos V(2012)Super-resolution image reconstruction techniquesInformation Fusion10.1016/j.inffus.2010.11.00513:3(185-195)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.inffus.2010.11.005
El-Rahman SElqader HSelim MAllam M(2010)Reconstruction of High Resolution image from a set of blurred, warped, undersampled, and noisy measured images2010 International Computer Engineering Conference (ICENCO)10.1109/ICENCO.2010.5720436(107-112)Online publication date: Dec-2010
https://doi.org/10.1109/ICENCO.2010.5720436
Panagiotopoulou A(2009)Regularized super-resolution image reconstruction employing robust error normsOptical Engineering10.1117/1.326554348:11(117004)Online publication date: 1-Nov-2009
https://doi.org/10.1117/1.3265543

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