A wavelet method for high-resolution image reconstruction with displacement errors

Raymond H. CHAN; Tony F. CHAN; Lixin SHEN; Zuowei SHEN

doi:10.1109/isimp.2001.925321

A wavelet method for high-resolution image reconstruction with displacement errors

Raymond H. CHAN^*, Tony F. CHAN, Lixin SHEN, Zuowei SHEN

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

4 Citations (Scopus)

Abstract

High-resolution image reconstruction refers to reconstructing a higher resolution image from multiple low-resolution samples of a true image. The authors consider the case where there are displacement errors in the low-resolution samples, i.e. the samples are not aligned properly. The resulting blurring operators are spatially variant. Using the theory developed by R. Chan and K. Boo (1998), we solve the problem by using an iterative algorithm based on wavelet filters and multiresolution analysis. We begin with a brief introduction to the mathematical model of the high-resolution image reconstruction.

Original language	English
Title of host publication	Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Publisher	IEEE
Pages	24-27
Number of pages	4
ISBN (Print)	9789628576623
DOIs	https://doi.org/10.1109/isimp.2001.925321
Publication status	Published - 2001
Externally published	Yes
Event	2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 - Hong Kong, Hong Kong Duration: 2 May 2001 → 4 May 2001

Conference

Conference	2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001
Country/Territory	Hong Kong
City	Hong Kong
Period	2/05/01 → 4/05/01

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10.1109/isimp.2001.925321

Cite this

@inproceedings{f145487d8e974a2aba357d2ad1978456,

title = "A wavelet method for high-resolution image reconstruction with displacement errors",

abstract = "High-resolution image reconstruction refers to reconstructing a higher resolution image from multiple low-resolution samples of a true image. The authors consider the case where there are displacement errors in the low-resolution samples, i.e. the samples are not aligned properly. The resulting blurring operators are spatially variant. Using the theory developed by R. Chan and K. Boo (1998), we solve the problem by using an iterative algorithm based on wavelet filters and multiresolution analysis. We begin with a brief introduction to the mathematical model of the high-resolution image reconstruction.",

author = "CHAN, {Raymond H.} and CHAN, {Tony F.} and Lixin SHEN and Zuowei SHEN",

year = "2001",

doi = "10.1109/isimp.2001.925321",

language = "English",

isbn = "9789628576623",

pages = "24--27",

booktitle = "Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001",

publisher = "IEEE",

note = "2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001 ; Conference date: 02-05-2001 Through 04-05-2001",

}

CHAN, RH, CHAN, TF, SHEN, L & SHEN, Z 2001, A wavelet method for high-resolution image reconstruction with displacement errors. in Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001. IEEE, pp. 24-27, 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001, Hong Kong, Hong Kong, 2/05/01. https://doi.org/10.1109/isimp.2001.925321

A wavelet method for high-resolution image reconstruction with displacement errors. / CHAN, Raymond H.; CHAN, Tony F.; SHEN, Lixin et al.
Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001. IEEE, 2001. p. 24-27.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - A wavelet method for high-resolution image reconstruction with displacement errors

AU - CHAN, Raymond H.

AU - CHAN, Tony F.

AU - SHEN, Lixin

AU - SHEN, Zuowei

PY - 2001

Y1 - 2001

N2 - High-resolution image reconstruction refers to reconstructing a higher resolution image from multiple low-resolution samples of a true image. The authors consider the case where there are displacement errors in the low-resolution samples, i.e. the samples are not aligned properly. The resulting blurring operators are spatially variant. Using the theory developed by R. Chan and K. Boo (1998), we solve the problem by using an iterative algorithm based on wavelet filters and multiresolution analysis. We begin with a brief introduction to the mathematical model of the high-resolution image reconstruction.

AB - High-resolution image reconstruction refers to reconstructing a higher resolution image from multiple low-resolution samples of a true image. The authors consider the case where there are displacement errors in the low-resolution samples, i.e. the samples are not aligned properly. The resulting blurring operators are spatially variant. Using the theory developed by R. Chan and K. Boo (1998), we solve the problem by using an iterative algorithm based on wavelet filters and multiresolution analysis. We begin with a brief introduction to the mathematical model of the high-resolution image reconstruction.

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U2 - 10.1109/isimp.2001.925321

DO - 10.1109/isimp.2001.925321

M3 - Conference paper (refereed)

AN - SCOPUS:6344260987

SN - 9789628576623

SP - 24

EP - 27

BT - Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001

PB - IEEE

T2 - 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2001

Y2 - 2 May 2001 through 4 May 2001

ER -

A wavelet method for high-resolution image reconstruction with displacement errors

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