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JPEG Image Steganography based on Coefficients Selection and Partition
Author(s) -
Arshiya S. Ansari,
Mohammad Sajid Mohammadi,
Mohammad Tanvir Parvez
Publication year - 2017
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2017.06.02
Subject(s) - jpeg , steganography , partition (number theory) , computer science , image (mathematics) , selection (genetic algorithm) , algorithm , artificial intelligence , data mining , mathematics , combinatorics
In this paper, we propose a novel JPEG image Steganography algorithm based on partition schemes on image coefficient values. Our method selects the AC and DC coefficients of a JPEG image according to a channel selection method and then identifies appropriate coefficients to store the secret data-bits. As opposed to other reported works, in our algorithm each selected coefficient can store a variable number of data-bits that are decided using the concept called ‘Partition Scheme’. Experimental results indicate the suitability of the proposed algorithm as compared to other existing methods.

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