PUSHING THE LIMITS OF THE WIENER FILTER IN IMAGE DENOISING
Clement Bled, Francois Pitie
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Poster
09 Oct 2023
As modern image denoiser networks have grown in size, their reported performance in popular real noise benchmarks such as DND and SIDD have now long outperformed classic non-deep learning denoisers such as Wiener and Wavelet-based methods. In this paper, we propose to revisit the Wiener filter and re-assess its true potential performance. We show that carefully considering the implementation of the Wiener filter can yield similar performance to popular networks such as DnCNN.
