Cited By
View all- Sarode THalarnkar P(2015)Performance Evaluation of Non Sinusoidal Wavelets for Partial Image Scrambling Using Kekre's Walsh SequencyProcedia Computer Science10.1016/j.procs.2015.08.09758(755-762)Online publication date: 2015
Efficient scrambling of wavelet-based compressed images: a comparison between simple techniques for mobile applications
Authors: 
G. Ginesu, T. Onali, D. D. GiustoAuthors Info & Claims
G. Ginesu, T. Onali, D. D. GiustoAuthors Info & ClaimsArticle No.: 43, Pages 1 - 5
Abstract
Image scrambling is a fundamental task for several applications, from secure digital content transmission to mutual visual authentication. This paper proposes and evaluates several simple techniques with the aim of being efficient in respect to wavelet compression algorithms and fit for mobile applications. Then, the proposed methods are meant to comply with the average structure of wavelet-based coders and require very low computational capacity. Comparative results are provided both for evaluating the scrambling efficacy and the computational complexity.
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- Efficient scrambling of wavelet-based compressed images: a comparison between simple techniques for mobile applications
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September 2006
281 pages
ISBN:1595935177
DOI:10.1145/1374296
Copyright © 2006 ACM.
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Published: 18 September 2006
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View all- Sarode THalarnkar P(2015)Performance Evaluation of Non Sinusoidal Wavelets for Partial Image Scrambling Using Kekre's Walsh SequencyProcedia Computer Science10.1016/j.procs.2015.08.09758(755-762)Online publication date: 2015
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