An efficient hybrid Fourier-Wavelet Neighborhood Coefficient image denoising approach
Travis L. Williams, Robert Li · 2016
Image denoising is an issue in image processing, constantly spawning ideas to better deal with this problem. Both the Fourier and Wavelet domains remove noise, but have their own weaknesses. A hybrid Fourier-Wavelet Neighborhood Coefficient method is proposed, with experiments showing that the effectiveness of this method is greater than the previous hybrid Fourier-Wavelet neighborhood approach.