Steganalysis of LSB matching for Images with High Noise
نویسندگان
چکیده
This paper proposed a new steganalysis method against least significant bit (LSB) matching for images with high noise component which is considered more difficult for steganalysis than images with low noise component. First we calculate the sum of curvature of images histogram as discriminative feature which will reduce after LSB matching. Then, the calibration mechanism is introduced to reduce the steganalytic difficulty caused by the image variety. Experimental results show that the proposed method is efficient to detect the LSB matching steganography on image with high noise and has superior results compared with other recently proposed algorithms.
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