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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Multimedia Tools and...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Multimedia Tools and Applications
Article . 2015 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Encryption domain content-based image retrieval and convolution through a block-based transformation algorithm

Authors: Chou, J.-K; Yang, C.-K; Chang, H.-C.;

Encryption domain content-based image retrieval and convolution through a block-based transformation algorithm

Abstract

In this paper, we propose a block-based transformation algorithm to achieve the purpose of image content protection. More importantly, under the proposed image content protection framework, image retrieval and image convolution can also be performed directly on the content-protected images. As a consequence, not only secure image storage and communication are accomplished, but also the computation efforts can be fully distributed, thus making it a perfect match for nowadays popular cloud computing technology. Security analyses are conducted to prove that the proposed image encryption scheme offers certain degree of security in both statistical and computational aspects. Although a higher data confidentiality may be reached by adopting traditional cryptographic encryption algorithms, we believe it could be accepted by ordinary users with general image storage needs, since extra functionalities, i.e. content-based image retrieval and image convolution, are provided. Experimental results also demonstrate the decent performance of the proposed encryption domain image retrieval and convolution with acceptable storage overhead.

Country
Taiwan
Keywords

Ecryption domain content-based image retrieval/convolution, Image transformation/encryption

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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!
10
Top 10%
Top 10%
Average
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