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(5)
Detection Algorithm
Digital Image
Fourier Coefficient
Image Enhancement
Fourier Transform
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An aliasing detection algorithm based on suspicious colocalizations of Fourier coefficients
An aliasing detection algorithm based on suspicious colocalizations of Fourier coefficients,10.1109/ICIP.2010.5651195,Baptiste Coulange,Lionel Moisan
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An aliasing detection algorithm based on suspicious colocalizations of Fourier coefficients
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Baptiste Coulange
,
Lionel Moisan
We propose a new algorithm able to detect the presence and the localization of aliasing in a single digital image. Considering the image in Fourier domain, the fact that two frequencies in aliasing relation contribute to similar parts of the image domain is a suspicious coincidence, that we detect with an a-contrario model. This leads to a localization of the aliasing phenomenon in both spatial and spectral domains, with a
detection algorithm
that keeps control of the number of false alarms. Experiments on several images show that this new method favorably compares to the state of the art, and opens interesting perspectives in terms of image enhancement.
Conference:
Image Processing, IEEE International Conference - ICIP
, pp. 2013-2016, 2010
DOI:
10.1109/ICIP.2010.5651195
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References
(6)
Automatic detection of well sampled images via a new ringing measure
(
Citations: 3
)
Gwendoline Blanchet
,
Lionel Moisan
,
Bernard Rougé
Conference:
International Conference on Acoustics, Speech, and Signal Processing - ICASSP
, pp. 1030-1033, 2010
The Analytic Image
(
Citations: 30
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Joseph P. Havlicek
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Conference:
International Conference on Image Processing - ICIP
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Super resolution: quincunx sampling and fusion processing
(
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C. Latry
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Conference:
Geoscience and Remote Sensing IEEE International Symposium - IGARSS
, 2003
Periodic Plus Smooth Image Decomposition
(
Citations: 5
)
Lionel Moisan
Journal:
Journal of Mathematical Imaging and Vision - JMIV
, vol. 39, no. 2, pp. 161-179, 2011
A no-reference Spatial Aliasing Measure for digital image resizing
(
Citations: 3
)
Amy R. Reibman
,
Shan Suthaharan
Conference:
Image Processing, IEEE International Conference - ICIP
, pp. 1184-1187, 2008