Title :
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
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;
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
DOI :
10.1109/IASP.2010.5476184
