NDLI: A secure fast 2D — Discrete fractional fourier transform based medical image compression using hybrid encoding technique

Content Provider	IEEE Xplore Digital Library
Author	Kumari, P.V. Thanushkodi, K.
Copyright Year	2013
Description	Author affiliation: Dept. of CSE, Coimbatore Inst. of Eng. & Technol., Coimbatore, India (Kumari, P.V.) \|\| Akshaya Coll. of Eng. & Technol., Coimbatore, India (Thanushkodi, K.)
Abstract	The arrival of CT and MRI imaging in the last two decades used for analysis of various diseases in medical field. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) sequences have become essential in healthcare systems and an integral segment of a patient's medical record. Such medical image data needed a huge amount of resources for storage and transmission. Compression of medical images for efficient use of storage space and transmission bit rate has become a necessity. A quasigroup successfully creates an astronomical number of keys which is used to confuse the hackers in determining the original data. However, quasi group encryption is not capable in diffusing the information of the plain text. Hence, in this study the DICOM images are encrypted using a chained Hadamard transforms and Number Theoretic Transforms to introduce diffusion along with the quasigroup transformation. A secure Fast Two Dimensional Discrete Fractional Fourier Transform (DFRFT) and a SPIHT Algorithm with Huffman Encoder is used for compress the image and it provides a secure compression of medical images as compared to the other transform. The experimental results evaluate the performance of the proposed encryption approach based on the PSNR and MSE it shows the proposed approach gives better results.
Starting Page	1
Ending Page	7
File Size	592008
Page Count	7
File Format	PDF
ISBN	9781479925834
e-ISBN	9781479925841
DOI	10.1109/ICCTET.2013.6675900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Number Theoretic Transforms Huffman Encoder SPIHT Algorithm Fractional Fourier Transform Hadamard transform DICOM Image
Content Type	Text
Resource Type	Article

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