| Title | A Steganography Algorithm Based on GM Model of optimized Parameters |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Wu, Yue-hong, Zhuang, Shen, Sun, Qi |
| Conference Name | 2020 International Conference on Computer Engineering and Application (ICCEA) |
| Date Published | mar |
| Keywords | 1) modeL, composability, data mining, GM(1, human visiual system, image processing, Metrics, privacy, pubcrawl, steganography, steganography detection, visualization |
| Abstract | In order to improve the concealment of image steganography, a new method is proposed. The algorithm firstly adopted GM (1, 1) model to detect texture and edge points of carrier image, then embedded secret information in them. GM (1, 1) model of optimized parameters can make full use of pixels information. These pixels are the nearest to the detected point, so it improves the detection accuracy. The method is a kind of steganography based on human visual system. By testing the stegano images with different embedding capacities, the result indicates concealment and image quality of the proposed algorithm are better than BPCS (Bit-plane Complexity Segmentation) and PVD (Pixel-value Differencing), which are also based on visual characteristics. |
| DOI | 10.1109/ICCEA50009.2020.00089 |
| Citation Key | wu_steganography_2020 |
A Steganography Algorithm Based on GM Model of optimized Parameters