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5 March 2008Deconvolution of images with periodic striping noise
In this paper a new deconvolution algorithm is presented concerning images contaminated by periodic stripes. Inspired
by the 2-D power spectrum distribution property of periodic stripes in the frequency domain, we construct a novel
regularized inverse filter which allows the algorithm to suppress the amplification of striping noise in the Fourier inverse
step and further get rid of most of them, and mirror-wavelet denoising is followed to remove the left colored noise. In
simulations with striped images, this algorithm outperforms the traditional mirror-wavelet based deconvolution in terms
of both visual effect and SNR comparison, only at the expense of slightly heavier computation load. The same idea about
regularized inverse filter can also be used to improve other deconvolution algorithms, such as wavelet packets and
wiener filters, when they are employed to images stained by periodic stripes.
Zuoguan Wang,Wujun Xu, andYutian Fu
"Deconvolution of images with periodic striping noise", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662316 (5 March 2008); https://doi.org/10.1117/12.791496
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Zuoguan Wang, Wujun Xu, Yutian Fu, "Deconvolution of images with periodic striping noise," Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662316 (5 March 2008); https://doi.org/10.1117/12.791496