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Secret Restoration Algorithms for the Image Data

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2011Publisher:IEEEJournal:2011 4th International Conference on Intelligent Networks and Intelligent Systems
Authors: Noriaki Minami; Masao Kasahara;

doi: 10.1109/icinis.2011.47

Secret Restoration Algorithms for the Image Data

Abstract

In this paper, we propose two new algorithms that can be successfully applied to any image data. When a part or all of the image data is lost or seriously damaged, it is possible to restore all of the image data with this algorithm under the cooperation of the members. We have performed a simulation on several standard image data to reconfirm the effectiveness of our proposed algorithms.

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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!
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