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Adaptive Image Steganography with Mod-4 Embedding Using Image Contrast

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2 Author(s)
Ramezani, M. ; Biomed. Signal & Image Process. Lab., Sharif Univ. of Technol., Tehran, Iran ; Ghaemmaghami, S.

A new adaptive steganography method based on image contrast to improve the embedding capacity and imperceptibility of the stego images is presented. The method exploits the average difference between the gray level values of the pixels in 2×2 blocks of non-overlapping spatially and their mean gray level in order to select valid blocks for embedding. The method was tested on different gray scale images. Results show that our proposed approach provides larger embedding capacity, while being less detectable by steganalysis methods such as ¿2 attack and machine learning steganalysis systems, as compared to some well-known adaptive and non-adaptive steganography algorithms.

Published in:

Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE

Date of Conference:

9-12 Jan. 2010