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基于GIF动态图像的自适应隐写方案

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提出了一种新的针对GIF(graphics interchange format)动态图像的自适应隐写算法.通过图像帧间相同位置像素的颜色亮度方差和颜色平均亮度建立帧间自适应准则,通过帧内的颜色规则与颜色匹配表建立帧内自适应准则,将图像分为可隐写像素与不可隐写像素,并用多帧可隐写像素联合隐写秘密信息.实验结果表明,算法具有良好的隐写效果并且具有较大的隐藏容量,与其他的密写方案相比,本方案保证了未授权者非法提取秘密信息的难度足够大,具有较高的安全性.
Adaptive steganographic scheme for GIF animated images
A novel adaptive steganographic scheme for graphics interchange format (GIF) animated images is proposed.Image pixels are classified as data embeddable and nonembeddable ones by the adaptive rule of inter frames,which is built by color-luminance variance in the same position and color-luminance average,and the adaptive rule of intra frames,which is built by color-order and color-map.Secret irrformarion is embedded into certain frames of the iamge.Experimental results show that the proposed scheme can achieve a good balance between stego-image quality and data-embedding capacity.Compared with other steganographic schemes,the proposed one has a high security,which guarantees unauthorized persons to extract the secret information extremely difficultly.

graphics interchange format (GIF)animated imagesteganographyadaptive

杨曦、王宏霞、吴汉舟

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西南交通大学信息科学与技术学院,四川成都610031

GIF 动态图像 隐写 自适应的

国家自然科学基金中央高校基本科研业务费专项资金成都市科技计划

61170226SWJTU11CX04712DXYB214JH-002

2014

光电子·激光
天津理工大学 中国光学学会

光电子·激光

CSCD北大核心EI
影响因子:1.437
ISSN:1005-0086
年,卷(期):2014.25(2)
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