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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Comparative Analysis of Compression Techniques and Feature Extraction for Implementing Medical Image Privacy Using Searchable Encryption
verfasst von : J. Hyma, P. V. G. D. Prasad Reddy, A. Damodaram
Erschienen in: Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1
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The secure preservation of biomedical image data is a primary concern in today’s technology enabled medical world. The new advancements in the technology are insisting us to outsource our digital data to a third party server and bring as and when needed. In this regard, efficient storage and transmission of this large medical data set becomes an important concern. In this paper we studied different compression techniques as a significant step of data preparation for implementing searchable encryption of medical data privacy preservation. We also shown texture based feature extraction for enabling privacy preserving query search. The simulation results obtained using different modalities of CT and MRI images with the performance comparison of wavelet and contourlet transform in peak signal to noise ratio for different compression ratios.