Steganography in beautified images.

Clicks: 305
ID: 17351
2019
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Abstract
Existing distortion functions in steganography which achieved high undetectability are designed for unprocessed natural image. Nowadays, a large number of images are filtered before transmitting for the sake of beautification. In this situation, existing distortion functions should be improved to fit the properties of these beautified images. This paper proposes a distortion function optimization method for steganography on beautified images. Given an unprocessed image, a popular image beautification software is employed to produce two similar beautified images. One of them is used for embedding and the other one is employed as reference. Guided by the reference, existing distortion functions are improved by distinguishing the embedding costs for ±1 embedding. After embedding, the stego image is closer to the reference, which results in a higher undetectability against steganalysis. Experimental results also proved the increasing of undetectability when examined by modern steganalytic tools.
Reference Key
liu2019steganographymathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Li Yun;Wang, Zi Chi;Qian, Zhen Xing;Zhang, Xin Peng;Feng, Guo Rui;
Journal mathematical biosciences and engineering : mbe
Year 2019
DOI
10.3934/mbe.2019116
URL
Keywords Keywords not found

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