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A Lossless Recovery of Data Embedded in Color Image Based On Block Division Method

机译:基于分块法的彩色图像中数据的无损恢复

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Today, digital media are getting more and more popular. Not only multilevel images, video and audio are in digital form, but gray scale images are also digitized in many applications. Data transmitted over the internet can be hacked, so the data encryption becomes important. One of the encryption techniques is reversible data hiding. The major characteristic of this method is that it allows reconstruction of the original image from the stego image after extraction of data. Ni (NSAS) proposed the reversible data hiding based on histogram shifting. However the method had no provision of sending the peak point information required to extract the secret data. Later, Hwang (HKC) proposed a scheme based on histogram shifting to overcome this shortcoming. But this method decreases the data hiding capacity. In order to enhance data hiding capacity block division method is used. In this paper an algorithm for embedding data into color image is proposed. According to the proposed method , the reversible data hiding scheme for color images not only improves the original data hiding capacity but also attains the goal of lossless data recovery.
机译:如今,数字媒体越来越流行。在许多应用中,不仅多级图像,视频和音频都是数字形式的,而且灰度图像也已被数字化。通过互联网传输的数据可能会被黑客入侵,因此数据加密变得非常重要。加密技术之一是可逆数据隐藏。该方法的主要特征是,它允许在提取数据后从隐身图像中重建原始图像。 Ni(NSAS)提出了基于直方图平移的可逆数据隐藏方法。然而,该方法没有提供发送提取秘密数据所需的峰值信息。后来,Hwang(HKC)提出了一种基于直方图移位的方案来克服这一缺点。但是这种方法降低了数据隐藏能力。为了增强数据隐藏能力,使用了块划分方法。本文提出了一种将数据嵌入彩色图像的算法。根据提出的方法,彩色图像的可逆数据隐藏方案不仅提高了原始数据的隐藏能力,而且达到了无损数据恢复的目的。

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