Remote sensing image interpolation via the nonsubsampled contourlet transform

Author

Xu, Tongyang ; Fang, Yong

Author_Institution

Key Lab. of Specialty Fiber Opt. & Opt. Access Networks, Shanghai Univ., Shanghai, China

fYear

2010

fDate

9-11 April 2010

Firstpage

695

Lastpage

698

Abstract

A novel nonsubsampled contourlet Bi-linear interpolation algorithm for remote sensing image is proposed, which is based on the estimation of detail nonsubsampled contourlet coefficients at high resolution scales. The method employs Bi-linear interpolation algorithm to anticipate the high frequency component on high resolution from the high frequency component on low resolution. The experiment results demonstrate that the algorithm can get a higher PSNR and keep more image detail information than traditional interpolation algorithms.

Keywords

image resolution; interpolation; remote sensing; wavelet transforms; bilinear interpolation algorithm; high frequency component; nonsubsampled contourlet transform; remote sensing image; Filter bank; Fractals; Frequency; Image resolution; Interpolation; Optical fibers; Optical sensors; Pixel; Remote sensing; Visual effects; bi-linear interpolation; nonsubsampled contourlet transform; remote sensing images; similar transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4244-5554-6

Electronic_ISBN

978-1-4244-5556-0

Type

conf

DOI

10.1109/IASP.2010.5476176

Filename

5476176