Record Details

PCA Encrypted Short Acoustic Data Inculcated in Digital Color Images

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Title PCA Encrypted Short Acoustic Data Inculcated in Digital Color Images
 
Creator KARAMCHANDANI, SH
GANDHI, KJ
GOSALIA, SR
MADAN, VK
MERCHANT, SN
DESAI, UB
 
Subject Colour image steganography
principal component analysis
eigen thresholding
Pareto analysis
 
Description We propose develop a generalized algorithm for hiding audio signal using image steganography. The authors suggest transmitting short audio messages camouflaged in digital images using Principal Component Analysis (PCA) as an encryption technique. The quantum of principal components required to represent the audio signal by removing the redundancies is a measure of the magnitude of the Eigen values. The aforementioned technique follows a dual task of encryption and in turn also compresses the audio data, sufficient enough to be buried in the image. A 57Kb audio signal is decipher from the Stego image with a high PSNR of 47.49 and a correspondingly low mse of 3.3266 x 10(-6) with an equalized high quality audio output. The consistent and comparable experimental results on application of the proposed method across a series of images demonstrate that PCA based encryption can be adapted as an universal rule for a specific payload and the desired compression ratio.
 
Publisher CCC PUBL-AGORA UNIV
 
Date 2016-01-15T10:59:23Z
2016-01-15T10:59:23Z
2015
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 10(5)678-685
1841-9836
1841-9844
http://dspace.library.iitb.ac.in/jspui/handle/100/18408
 
Language en