Steganography using Sensor Noise and Linear Prediction Synthesis Filter

Abstract

This paper presents a new approach utilizing the sensor's pattern noise and linear prediction synthesis filter for steganography. The pattern noise is extracted from the images using denoising filter (for example wavelet-based filter). Then the approach introduces the linear prediction synthesis filter, whose parameters are derived from the extracted noise. After being filtered by such a filter, the secret message can be embedded by adapting the characteristics of the sensor's pattern noise. As a result, the embedding process violate little of the natural image statistics, and hence the detectability of steganalytic method is noticeably decreased. The experimental results prove the effectiveness of the new approach.