Improved frequency domain Super-Resolution algorithm with conjugate gradient - NUFFT method as its reconstruction core

Author

Malczewski, Krzysztof ; Stasinski, Ryszard

Author_Institution

Inst. of Electron. & Telecommun., Poznan Univ. of Technol., Poznan, Poland

fYear

2005

fDate

4-8 Sept. 2005

Firstpage

1

Lastpage

4

Abstract

In the paper frequency domain Super-Resolution algorithm with enhanced reconstruction stage is presented. The Fourier transform properties of relocated images are used to easy estimation of rotation and translation, as well as artifacts caused by subsampling. Previously, the bicubic interpolation has been employed in the reconstruction phase, in this paper it is replaced by iterative conjugate-gradient method with inverse nonuniform fast Fourier transform at its core. The new algorithm indeed gives improved results, if compared to those of the previous ones.

Keywords

conjugate gradient methods; fast Fourier transforms; image enhancement; image reconstruction; image resolution; inverse transforms; iterative methods; motion estimation; bicubic interpolation; conjugate gradient NUFFT method; frequency domain superresolution algorithm; inverse nonuniform fast Fourier transform; iterative conjugate-gradient method; rotation estimation; translation estimation; Algorithm design and analysis; Fourier transforms; Frequency-domain analysis; Image reconstruction; Motion estimation; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2005 13th European

Conference_Location

Antalya

Print_ISBN

978-160-4238-21-1

Type

conf

Filename

7078189