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Scaling and cropping of wavelet-based compressed images in hidden domain
International Institute of Information Technology, India; University of Winnipeg, Canada.
RISE, Swedish ICT, SICS.
RISE, Swedish ICT, SICS.
2015 (English)In: Lecture Notes in Computer Science, Springer Verlag , 2015, Vol. 8935, p. 430-441Conference paper, Published paper (Refereed)
Abstract [en]

With the rapid advancement of cloud computing, the use of third-party cloud datacenters for storing and processing (e.g, scaling and cropping) personal and critical images is becoming more common. For storage and bandwidth efficiency, the images are almost always compressed. Although cloud-based imaging has many advantages, security and privacy remain major issues. One way to address these two issues is to use Shamir’s (k, n) secret sharing-based secret image sharing schemes, which can distribute the secret image among n number of participants in such a way that no less than k (where k ≤ n) participants can know the image content. Existing secret image sharing schemes do not allow processing of a compressed image in the hidden domain. In this paper, we propose a scheme that can scale and crop a CDF (Cohen Daubechies Feauveau) wavelet-based compressed image (such as JPEG2000) in the encrypted domain by smartly applying secret sharing on the wavelet coefficients. Results and analyses show that our scheme is highly secure and has acceptable computational and data overheads. © Springer International Publishing Switzerland 2015.

Place, publisher, year, edition, pages
Springer Verlag , 2015. Vol. 8935, p. 430-441
Keywords [en]
Hidden domain image scaling/cropping, Shamir’s secret sharing, Wavelet-based image compression, Digital image storage, Image compression, Wavelet analysis, Bandwidth efficiency, Compressed images, Image scaling, Secret image sharing, Secret sharing, Security and privacy, Wavelet based image compression, Wavelet coefficients, Discrete wavelet transforms
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-43230Scopus ID: 2-s2.0-84919629131ISBN: 9783319144443 (print)OAI: oai:DiVA.org:ri-43230DiVA, id: diva2:1385168
Conference
21st International Conference on MultiMedia Modeling, MMM 2015; Sydney; Australia; 5 January 2015 through 7 January 2015
Note

Conference code: 112339; Cited By :4; Export Date: 13 January 2020; Conference Paper; Correspondence Address: Kansal, K.; Department of Applied Computer Science, University of WinnipegCanada

Available from: 2020-01-13 Created: 2020-01-13 Last updated: 2020-01-20Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
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Language
  • de-DE
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  • en-US
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Output format
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