Remote sensing image enhancement based on wavelet and nonlinear iteration

Author

Lingling, Li ; Tao, Han ; Liantang, Lou

Author_Institution

Dept. of Comput. Sci. & Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China

fYear

2010

fDate

9-11 April 2010

Firstpage

660

Lastpage

662

Abstract

Traditional wavelet transformation enhancement can not adjust the brightness of an image effectively, particularly for the remote sensing images whose brightness is uneven or insufficient. A novel image enhancement algorithm based on wavelet and nonlinear iteration is presented. Nonlinear iteration method is adopted to adjust the low-frequency coefficients of wavelet as well as remaining the effectiveness of the traditional wavelet transformation enhancement. Experimental results demonstrate the effectiveness of our algorithm.

Keywords

image enhancement; iterative methods; remote sensing; wavelet transforms; low-frequency coefficients; nonlinear iteration method; remote sensing image enhancement; wavelet transformation; Aerospace industry; Application software; Brightness; Computer science; Discrete wavelet transforms; Frequency; Image analysis; Image enhancement; Remote sensing; Wavelet analysis; Fourier analysis; Image enhancement; Nonlinear iteration; Remote sensing image; Wavelet analysis;

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.2010.5476184

Filename

5476184