Coverless Image Steganography Using Histograms of Oriented Gradients-Based Hashing Algorithm

• DOI: 10.6138/jit.2017.18.5.20160815b
• Publication Date: 2017-09-01
• Authors: Zhili Zhou; Q. M. Jonathan Wu; Ching‐Nung Yang; Xingming Sun; Zhaoqing Pan
• Keywords: Steganalysis

The traditional image steganography approaches usually need a cover so that the secret information can be imperceptibly embedded into it for communication. However, by utilizing embedding traces left in image, existence of could successfully determined steganalysis methods. To resist existing methods, coverless approach is proposed using histograms oriented gradients (HOGs)-based hashing algorithm. More specially, instead designating embedding, original images whose hash sequences equal to are directly selected from large-scale database, which used as stego-images In this approach, each image's obtained its non-overlapping blocks HOGs-based Both theoretical analysis and experiments demonstrate our has good resistance security strong robustness common attacks such resampling, brightness contrast change, smoothing well addition Gaussian noise.