A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Adaptive steganography based on dithering
Proceedings of the 2004 workshop on Multimedia and security
Adaptive Steganography based on textures
CONIELECOMP '07 Proceedings of the 17th International Conference on Electronics, Communications and Computers
Towards genetic feature selection in image steganalysis
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems
IEEE Transactions on Information Forensics and Security
Genetic algorithms based data hiding scheme for digital images with LSBMR
International Journal of Information and Computer Security
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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 χ2 attack and machine learning steganalysis systems, as compared to some well-known adaptive and non-adaptive steganography algorithms.