A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Hide and Seek: An Introduction to Steganography
IEEE Security and Privacy
Cyber warfare: steganography vs. steganalysis
Communications of the ACM - Voting systems
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Human visual system based adaptive digital image watermarking
Signal Processing
A high quality steganographic method with pixel-value differencing and modulus function
Journal of Systems and Software
Reversible data hiding for high quality images using modification of prediction errors
Journal of Systems and Software
A novel adaptive steganography based on local complexity and human vision sensitivity
Journal of Systems and Software
Joint watermarking and encryption of color images in the Fibonacci-Haar domain
EURASIP Journal on Advances in Signal Processing
A Novel Data Embedding Method Using Adaptive Pixel Pair Matching
IEEE Transactions on Information Forensics and Security - Part 2
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In this paper, we proposed a data embedding method based on human visual system (HVS) and quadtree partitioning. For most HVS-based methods, the amount of embedded data is based on the measurement of differences of pixel pairs or the standard deviation of image blocks. However, these methods often result in larger image distortion and are vulnerable to statistical attacks. The proposed method employs a specially designed function to measure the complexity of image blocks, and uses quadtree partitioning to partition images into blocks with different sizes. Larger blocks are associated with smooth regions in images whereas smaller blocks are associated with complex regions. Therefore, we embed less data into larger blocks to preserve the image quality and embed more data into smaller blocks to increase the payload. Data embedment is done by using the diamond encoding technique. Experimental results revealed that the proposed method provides better image quality and offers higher payload compared to other HVS-based methods.