Destriping Line-Scan Color Image in Transform Domain
Wenzhu Yang, Zhao-Hai Liu, Sile Wang, Sukui Lu · 2015
To remove the stripe noises from the polluted line-scan color images, a transform domain destriping method which combined Fourier transform and wavelet decomposition was presented. Firstly, the line-scan color image with stripe noise was decomposed using multi-resolution wavelet to separate the sub-band which contained the stripe noise from the other sub-bands. Then the sub-band with stripe noises was transformed into Fourier coefficients. Thirdly, the Fourier coefficients were processed by a band-stop filter to remove these coefficients which represent the stripe noise. At last, inverse Fourier transform and wavelet reconstruction are performed to generate the final denoised image. The experimental results indicate that the proposed approach can remove the stripe noise effectively from the polluted image while preserving the details of the original image.