Open AccessA new recursive scheme of the unbiased FIR filter to image processing
Author(s) -
Luis J. Morales-Mendoza,
R.F. Vázquez-Bautista,
E. Morales-Mendoza,
Yuriy S. Shmaliy,
Hamurabi Gamboa-Rosales
Publication year - 2012
Publication title -
procedia engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.32
H-Index - 74
ISSN - 1877-7058
DOI - 10.1016/j.proeng.2012.04.181
Subject(s) - computational complexity theory , finite impulse response , algorithm , computer science , filter (signal processing) , signal processing , scheme (mathematics) , impulse noise , mean squared error , convergence (economics) , image processing , image (mathematics) , metric (unit) , mathematics , theoretical computer science , artificial intelligence , computer vision , digital signal processing , statistics , engineering , pixel , mathematical analysis , operations management , computer hardware , economics , economic growth
In this paper, we present a new computational scheme for the implementation of Unbiased Finite Impulse Response filter to image processing. The recursive scheme is focused both signal to noise ratio and root mean-square-error on filter improved performance. In this way, quantitative evaluations are computed to verify the performance carried out by the new recursive computational scheme under metrics. On the other hand, qualitative evaluations are showed for both cases: signals (one dimensional) and images (two dimensional). Finally, this efficient computational algorithm manifests an outstanding signal/image enhancing with strong metric convergence despite the computational complexity
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