DNLM-IIFFT: An implementation of the deceived non local means filter using integral images and the fast fourier transform for a reduced computational cost

Saúl Calderón Ramírez, Manuel Zumbado Corrales

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1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress, CIARP 2017, Proceedings
EditoresSergio Velastin, Marcelo Mendoza
EditorialSpringer Verlag
Páginas127-134
Número de páginas8
ISBN (versión impresa)9783319751924
DOI
EstadoPublicada - 2018
Evento22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017 - Valparaiso, Chile
Duración: 7 nov 201710 nov 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10657 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017
País/TerritorioChile
CiudadValparaiso
Período7/11/1710/11/17

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