Lossless Image Compression and Selective Encryption Using a Discrete Radon Transform

dc.contributor.authorKingston, Andrew
dc.contributor.authorColosimo, S
dc.contributor.authorCampisi, P
dc.contributor.authorAutrusseau, Florent
dc.date.accessioned2015-12-10T22:43:39Z
dc.date.issued2008
dc.date.updated2015-12-09T11:16:32Z
dc.description.abstractIn this paper we propose a new joint encryption and lossless compression technique designed for large images. The proposed technique takes advantage of the Mojette transform properties, and can easily be included in a distributed storage architecture. The basic crypto-compression scheme presented is based on a cascade of Radon projection which enables fast encryption of a large amount of digital data. Standard encryption techniques, such as AES, DES, 3DES, or IDEA can be applied to encrypt very small percentages of high resolution images. As the proposed scheme uses standard encryption, and only transmits uncorrelated data along with the encrypted part, this technique takes benefit of the security related to the chosen encryption standard, here, we assess its performances in terms of processing time and compression ratio.
dc.identifier.issn0923-5965
dc.identifier.urihttp://hdl.handle.net/1885/58259
dc.publisherElsevier
dc.sourceSignal Processing: Image Communication
dc.subjectKeywords: Compression ratio (machinery); Data compression ratio; Data storage equipment; Digital image storage; Image compression; Image enhancement; Image processing; Imaging systems; Mathematical transformations; Radon; Security of data; Standards; Compression ra High payload images; Lossless compression; Selective encryption
dc.titleLossless Image Compression and Selective Encryption Using a Discrete Radon Transform
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage324
local.bibliographicCitation.startpage313
local.contributor.affiliationKingston, Andrew, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationColosimo, S, University of Nantes
local.contributor.affiliationCampisi, P, Universita degle Studi di Roma Tre
local.contributor.affiliationAutrusseau, Florent, Polytech Nantes
local.contributor.authoruidKingston, Andrew, u4438507
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080401 - Coding and Information Theory
local.identifier.absfor080106 - Image Processing
local.identifier.absfor080402 - Data Encryption
local.identifier.ariespublicationu9210271xPUB434
local.identifier.citationvolume23
local.identifier.doi10.1109/ICIP.2007.4380055
local.identifier.scopusID2-s2.0-48149109800
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Kingston_Lossless_Image_Compression_and_2008.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format