Share Email Print

Proceedings Paper

Adaptively image de-striping through frequency filtering
Author(s): Zhijia Zhang; Zelin Shi; Weifang Guo; Shabai Huang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The paper presents a new algorithm for image de-striping. A kind of adaptive frequency filter is constructed based on two-dimension fast Fourier Transform in the proposed algorithm. To construct the adaptive filter, a stripe frequency band (SFB) and an accumulation distribution function (ADF) are defined in the fourier power spectrum. Comparing to the traditional de-striping methods, the algorithm does not take on abundant computation load and need no manual participating to outline the stripe band in frequency domain. Through the evaluation of visual effect and SNR/PSNR comparison, the experiment results demonstrate the proposed algorithm can remove the strips effectively while contain the original image information perfectly.

Paper Details

Date Published: 20 January 2006
PDF: 8 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60273V (20 January 2006); doi: 10.1117/12.668347
Show Author Affiliations
Zhijia Zhang, Shenyang Institute of Automation (China)
Chinese Academy of Sciences (China)
Zelin Shi, Shenyang Institute of Automation (China)
Weifang Guo, Northwest Investigation Design and Research Institute (China)
Shabai Huang, Shenyang Institute of Automation (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?