Samsung Electronics Co., Ltd.

Chinese Academy of Sciences

Yinlong Qian

Wei Wang

Qiang Wang

Hyunsurk Eric Ryu

Hyunku Lee

Jing Dong

Tieniu Tan

Weiheng Liu

Keunjoo Paul Park

An image processing method including: capturing changes in a monitored scene; and performing a sparse feature calculation on the changes in the monitored scene to obtain a sparse feature map.

Image processing method, an image processing apparatus, and a surveillance system

The present invention provides a method for detecting image steganography based on deep learning, which comprises: filtering images having steganographic class label or true class label in a training set with a high-pass filter to obtain a training set including steganographic class residual images and true class residual images; training a deep network model on said training set to obtain a trained deep model for steganalysis; filtering the image to be detected with said high-pass filter to obtain a residual image to be detected; detecting said residual image to be detected on said deep model so as to determine whether said residual image to be detected is a steganographic image. The method for detecting image steganography in the present invention can create an automatic blind steganalysis model through feature learning and can identify steganographic images accurately.

Image steganalysis based on deep learning

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Beijing, China

Yinlong Qian