Open Access

ARTICLE

A Novel Steganography Algorithm Based on Instance Segmentation

Ruohan Meng^{1, 2}, Qi Cui^{1, 2}, Zhili Zhou^{1, 2}, Chengsheng Yuan^{1, 2, 3}, Xingming Sun^{1, 2, *}

1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
2 Jiangsu Engineering Centre of Network Monitoring, Nanjing, 210044, China.
3 Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada.

* Corresponding Author: Xingming Sun. Email: .

Computers, Materials & Continua 2020, 63(1), 183-196. https://doi.org/10.32604/cmc.2020.05317

Received 28 December 2018; Accepted 09 January 2019; Issue published 30 March 2020

Abstract

Information hiding tends to hide secret information in image area where is rich texture or high frequency, so as to transmit secret information to the recipient without affecting the visual quality of the image and arousing suspicion. We take advantage of the complexity of the object texture and consider that under certain circumstances, the object texture is more complex than the background of the image, so the foreground object is more suitable for steganography than the background. On the basis of instance segmentation, such as Mask R-CNN, the proposed method hides secret information into each object's region by using the masks of instance segmentation, thus realizing the information hiding of the foreground object without background. This method not only makes it more efficient for the receiver to extract information, but also proves to be more secure and robust by experiments.

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Citations