首页> 外文期刊>IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences >A Method to Apply BPCS-Steganography to Palette-Based Images Using Luminance Quasi-Preserving Color Quantization
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A Method to Apply BPCS-Steganography to Palette-Based Images Using Luminance Quasi-Preserving Color Quantization

机译:一种使用亮度准保留颜色量化技术将BPCS隐写技术应用于基于调色板的图像的方法

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In previous work we have proposed a stegano-graphic technique for gray scale images called BPCS-Steganography. We also apply this technique to full color images by decomposing the image into its three color component images and treating each as a gray scale image. This paper proposes a method to apply BPCS-Steganography to palette-based images. In palette-based images, the image data can be decomposed into color component images similar to those of full color images. We ran then embed into one or more of the color component images. However, even if only one of the color component images is used for embedding, the number of colors in the palette after embedding can be over the maximum number allowed. In order to represent the image data in palette-based format, color quantization is therefore needed. We cannot change the pixel values of the color component image that contains the embedded information, but can only change the pixel values of the other color component images. We assume that the degrading of the color component2 image with information embedded is smaller than that of the color component images that are used for color reduction. We therefore embed secret information into the G component image, because the human visual system is more sensitive to changes the luminance of a color, and G has the largest contribution to luminance of the three color components. In order to reduce the number of colors, the R and B component images are then changed in a way that minimizes the square error.
机译:在先前的工作中,我们提出了一种用于BPCS隐写术的灰度图像隐写技术。通过将图像分解为三个颜色分量图像并将每个图像都视为灰度图像,我们还将这种技术应用于全彩色图像。本文提出了一种将BPCS隐写技术应用于基于调色板的图像的方法。在基于调色板的图像中,图像数据可以分解为类似于全彩色图像的颜色分量图像。然后,我们将其嵌入到一个或多个颜色分量图像中。但是,即使仅使用一个颜色分量图像进行嵌入,嵌入后调色板中的颜色数量也可能超过允许的最大数量。为了以基于调色板的格式表示图像数据,因此需要颜色量化。我们不能更改包含嵌入信息的颜色分量图像的像素值,而只能更改其他颜色分量图像的像素值。我们假设嵌入信息的颜色分量2图像的降级小于用于色彩还原的颜色分量图像的降级。因此,我们将机密信息嵌入到G分量图像中,因为人的视觉系统对颜色的亮度变化更敏感,而G对三种颜色分量的亮度贡献最大。为了减少颜色数量,然后以最小化平方误差的方式更改R和B分量图像。

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