In this paper we propose an efficient implementation of the Deceived Non Local Means filter, using Integral Images and the Fast Fourier Transform, named DNLM-IFFT. The deceived non local means filter is part of the Deceived Weighted Averaging Filter Framework (DeWAFF), which defines an approach for image abstraction with a combination of unsharp masking for contrast and edges enhancement and weighted averaging filtering for noise reduction. The proposed optimization approach achieved a speedup factor up to 10.
CITATION STYLE
Calderón Ramírez, S., & Zumbado Corrales, M. (2018). DNLM-IIFFT: An implementation of the deceived non local means filter using integral images and the fast fourier transform for a reduced computational cost. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10657 LNCS, pp. 127–134). Springer Verlag. https://doi.org/10.1007/978-3-319-75193-1_16
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