The MTF measurement of remote sensors and image restoration based on wavelet transform

Author

Wang, Zhen-guo ; Geng, Ze-xun ; Zhang, Ya-xin ; Sui, Xue-lian

Author_Institution

Inf. Eng. Univ., Zhengzhou

Volume

4

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1921

Lastpage

1924

Abstract

Based on the theory of MTF detection of remote sensors and image restoration, this paper introduces the wavelet transform and multi-resolution analysis, and then talks about how to de-noise remote sensing images and preserve the edges using wavelet transform. Firstly, wavelet is transformed, after which, the low frequency sub-channel is used to detect MTF, and the high frequency sub-channel is used to de-noise images. The experimental results show that the algorithm is effective to restoration of remote sensing images and is brief especially.

Keywords

edge detection; geophysical signal processing; image denoising; image resolution; image restoration; image sensors; remote sensing; wavelet transforms; MTF detection; edge preservation; image restoration; modulation transfer function measurement; multi resolution analysis; remote image sensors; remote sensing image denoising; wavelet transform; Degradation; Equations; Frequency; Image analysis; Image restoration; Noise reduction; Remote sensing; Transfer functions; Wavelet analysis; Wavelet transforms; Image restoration; MTF; Remote sensing; Wavelet transform; de-noising; multi-resolution analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421770

Filename

4421770