Adaptively image de-striping through frequency filtering

Zhijia Zhang; Zelin Shi; Weifang Guo; Shabai Huang

doi:10.1117/12.668347

20 January 2006 Adaptively image de-striping through frequency filtering

Zhijia Zhang, Zelin Shi, Weifang Guo, Shabai Huang

Proceedings Volume 6027, ICO20: Optical Information Processing; 60273V (2006) https://doi.org/10.1117/12.668347
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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.

Citation Download Citation

Zhijia Zhang, Zelin Shi, Weifang Guo, and Shabai Huang "Adaptively image de-striping through frequency filtering", Proc. SPIE 6027, ICO20: Optical Information Processing, 60273V (20 January 2006); https://doi.org/10.1117/12.668347

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