Regularization operators for
natural images based on non-linear perception models
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Juan Gutiérrez, Francesc Ferri
and Jesús Malo
IEEE Trans. Im. Proc.
Vol. 15, 1, pp 189-200 (2006) |
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Abstract
Image restoration requires a priori knowledge
on the solution. The key idea behind conventional regularization techniques
is smoothness. Smoothness means predictability of the signal from the neighborhood,
therefore, simple statistical models are used to characterize this behavior.
However, natural images exhibit additional
features, such as particular relations between local Fourier or wavelet
transform coefficients. Biological visual systems have evolved to capture
these relations. We propose the use of this biological behavior in regularization
as an alternative to smoothness-based functionals.
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| Keywords: Regularization, Image
Restoration, Early Vision Models, Natural Image Statistics.
References: 27 |
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