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

Author

Chan, R.H. ; Chan, T.F. ; Shen, Lixin ; Shen, Zuowei

Author_Institution

Dept. of Math., Chinese Univ. of Hong Kong, Shatin, China

fYear

2001

fDate

2001

Firstpage

24

Lastpage

27

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

Keywords

image reconstruction; image sampling; iterative methods; wavelet transforms; blurring operators; displacement errors; high-resolution image reconstruction; iterative algorithm; low-resolution samples; mathematical model; multiple low-resolution samples; multiresolution analysis; spatially variant operators; true image; wavelet filters; wavelet method; Algorithm design and analysis; Filters; Image reconstruction; Image resolution; Image sensors; Layout; Mathematical model; Mathematics; Sensor arrays; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on

Conference_Location

Hong Kong

Print_ISBN

962-85766-2-3

Type

conf

DOI

10.1109/ISIMP.2001.925321

Filename

925321