Steganography methods in general terms tend to embed more and more secret bits in the cover images. Most of these methods are designed to embed secret information in such a way that the change in the visual quality of the resulting stego image is not detectable. There exists some methods which preserve the global structure of the cover after embedding. However, the embedding capacity of these methods is very less. In this paper a novel feature based blind image steganography technique is proposed, which preserves the LBP (Local binary pattern) feature of the cover with comparable embedding rates. Local binary pattern is a well known image descriptor used for image representation. The proposed scheme computes the local binary pattern to hide the bits of the secret image in such a way that the local relationship that exists in the cover are preserved in the resulting stego image. The performance of the proposed steganography method has been tested on several images of different types to show the robustness. State of the art LSB based steganography methods are compared with the proposed method to show the effectiveness of feature based image steganography

中文翻译：

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一种基于局部二值模式的新型盲特征图像隐写术

一般来说，隐写术方法倾向于在封面图像中嵌入越来越多的秘密位。这些方法大多数都设计为以无法检测到的隐秘图像的视觉质量变化的方式嵌入机密信息。有一些方法可以在嵌入后保留封面的整体结构。但是，这些方法的嵌入能力非常小。本文提出了一种新颖的基于特征的盲图像隐写技术，该技术以可比的嵌入率保留了封面的LBP（局部二进制图案）特征。局部二进制模式是用于图像表示的众所周知的图像描述符。所提出的方案计算局部二进制模式以隐藏秘密图像的位，从而使掩盖中存在的局部关系保留在生成的隐身图像中。所提出的隐写方法的性能已在几种不同类型的图像上进行了测试，以显示其鲁棒性。将基于LSB的隐秘技术的最新状态与提出的方法进行比较，以显示基于特征的图像隐秘技术的有效性