Title :
An improved destripe noises method for TDI-CCD images
Author_Institution :
Changchun Inst. of Opt., Changchun, China
Abstract :
The new destriping method using lifting wavelet transform by means of the improved threshold function is presented in this letter. It can overcome the deficiency of the hard and soft threshold function. As compared with the known threshold functions, the quality of the denoised images using the improved threshold function is much better. The results based on several image quality indexes present that the destriped images are not only visually more plausible but also suitable for analysis. Also it is reasonable in computer time and storage space to use the lifting wavelet transform.
Keywords :
image denoising; image segmentation; wavelet transforms; TDI-CCD images; destripe noises method improvement; image denoising; image quality; image thresholding; storage space; wavelet transform; Noise; Power filters; Remote sensing; Satellites; Wavelet coefficients; improved threshold function; lifting wavelet transform; remote sensing image; striping noise;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025784
