Design and Development of Semi-Blind Image Steganography Algorithm using DCT for Securing Text Documents which Resist against JPEG Compression
Darshan Mehta1, Dharmendra Bhatti2
1Darshan Mehta*, Computer Science and IT, VNSGU, Surat, India.
2Dr. Dharmendra Bhatti, Computer Science, UTU, Bardoli, India.
Manuscript received on July 21, 2019. | Revised Manuscript received on August 17, 2019. | Manuscript published on August 30, 2019. | PP: 4828-4832 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9115088619/2019©BEIESP | DOI: 10.35940/ijeat.F9115.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Semi-blind Image Steganography algorithm development proposed by using DC coefficients of DCT technique. Create KEY vector and potential block matrix while embedding the secret data. Embed one secret character in one DCT block using the DC value of each block. Convert DC coefficient to binary representation and store positions for secret data. Apply JPEG compression on Stego Image. While extracting the secret data from compressed Stego Image, with the use of a KEY vector extracts secret data bits from potential blocks. After creating simulation, perform some test on a standard dataset and compare the results with target results.
Keywords: DCT, Image Steganography, JPEG Compression, Key Vector, Potential Block Selection, RLE.