A color image steganography scheme based on texture features

机译：基于纹理特征的彩色图像隐写法

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Image information hiding is one of the hotspots in the field of information security. A steganography scheme based on LTP texture features is proposed. Firstly, the carrier image is divided into three channels. The carrier image is transformed into local ternary map (LTP) in green channel and blue channel, and the LTP information of green channel and blue channel is stored in red channel. According to the LTP to determine the green channel and the blue channel, the carrier image needs the amount of embedded secret information. In embedding, a special scheme is adopted to hide the secret information between the selected pixel and the next value of the selected pixel (that is, pixel + 1). The scheme has been tested on a set of color images, and the results are satisfactory in terms of embedding capacity and steganographic image quality (PSNR)

机译：图像信息隐藏是信息安全领域的热点之一。提出了一种基于LTP纹理特征的隐写术方案。首先，载体图像被分成三个通道。载波图像在绿色通道和蓝色通道中转换为局部三元图（LTP），绿色通道和蓝色通道的LTP信息存储在红色通道中。根据LTP确定绿色通道和蓝色信道，载波图像需要嵌入式秘密信息的量。在嵌入时，采用特殊方案来隐藏所选像素和所选像素的下一个值之间的秘密信息（即像素+ 1）。该方案已经在一组彩色图像上进行了测试，并且在嵌入容量和书签图像质量（PSNR）方面，结果是令人满意的

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《International Conference on Computer Technology and Media Convergence Design》|2021年|10-13|共4页
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作者
Zhongming Liu; Jiayu Deng; Zhu Lin; Jianhua Xie; Linxi Li; Yiming Jiang;
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Image quality; Information security; Color; Media; Convergence;

机译：图像质量;信息安全;颜色;媒体;收敛;

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1. WAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIX [J] . Jeyanthi Prabhu, Jawahar Senthil Kumar Journal of computer sciences . 2014,第1期

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2. WAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIX | Science Publications [J] . Jawahar Senthil Kumar, Jeyanthi Prabhu Journal of computer sciences . 2013,第1期

机译：基于灰度和色度矩阵的颜色和纹理特征提取的基于小波的基于内容的图像检索科学出版物
3. Application of Triple Features Theory to the Analysis of Half-Tone Images and Colored Textures. Feature Construction by Virtue of Stochastic Geometry and Functional Analysis [J] . Nikolay Fedotov, Sergey Romanov, Daria Goldueva Computer and information science . 2013,第4期

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4. Adaptive Steganography via Image Complexity Analysis using 3D Color Texture Feature [C] . Ridhima Grover, Dinesh Kumar Yadav, D.K. Chauhan, International Innovative Applications of Computational Intelligence on Power, Energy and Controls with their Impact on Humanity . 2018

机译：通过使用3D颜色纹理特征进行图像复杂度分析的自适应隐写术
5. Perceptually-based texture and color features for image segmentation and retrieval. [D] . Chen, Junqing. 2003

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6. Automated VSS-based Burn Scar Assessment using Combined Texture and Color Features of Digital Images in Error-Correcting Output Coding [O] . Tuan D. Pham, Matilda Karlsson, Caroline M. Andersson, -1

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7. Efficient Steganography Scheme for Color Images based on Wavelets and Chaotic Maps [O] . Hikmat N. Abdullah, Sura F. Yousif, Alejandro A. Valenzuela 2020

机译：基于小波和混沌映射的彩色图像有效的隐写方案

A color image steganography scheme based on texture features

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