基于噪声感知残差网络的 JPEG 隐写分析方法.

To further explore the characteristics of the steganographic noise signal in the adaptive JPEG steganographic images, this paper proposed a noise-aware residual network for JPEG image steganalysis. The proposed network included three components, noise-aware component, noise analysis component and judgement component. First, noise-aware component extracted the noise of an image, it used denoising network to offer more comprehensive information related to steganography. Then, noise analysis component got discriminative features from image noise related information. Last,judgement network gave the final detection result. Moreover, residual connections integrated high-level features and low-level features and prevented gradient vanishing and exploding. Experiments under various conditions show that the network has an advanced performance, and has better generalization ability. [ABSTRACT FROM AUTHOR]