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Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell

Masuring and improving image resolution by adaptation of the reciprocal cell
descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Nov 2004 France English Publisher:Springer Science and Business Media LLCJournal:Journal of Mathematical Imaging and Vision, volume 21, pages 235-279 (issn: 0924-9907, eissn: 1573-7683, Copyright policy )
Authors: Almansa, Andrés; Durand, Sylvain; Rougé, Bernard;

doi: 10.1023/b:jmiv.0000043739.51886.01

Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell

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Keywords

sampling, restoration, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, aliasing, acquisition, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], Computing methodologies for image processing, Image resolution, Shannon's sampling theorem, Shannon, Image processing (compression, reconstruction, etc.) in information and communication theory, Sampling theory in information and communication theory, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, image resolution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Average
Green
bronze
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