一种基于自适应主DCT系数个数的图像隐写算法
A New Paradigm for Improved Image Steganography by using Adaptive Number of Dominant Discrete Cosine Transform Coefficients
摘要：
图像隐写术通过篡改图像内容来隐藏图像中的秘密信息。有一个自然的愿望，隐藏最大的秘密信息与最少的失真在主机图像。这需要一种算法，智能地优化容量，保持图像所需的不可感知性。本文提出了一种图像隐写方案，该方案从每个离散余弦变换系数中保留自适应选择的主导系数块，而其余的系数被替换为归一化的秘密图像像素值。秘密图像像素值在自适应选择的范围内归一化。在自适应选择的非正方形L形块中嵌入这种规格化数据利用了每个块中可用的最大嵌入空间，从而导致最大化有效载荷容量，同时保持图像质量。该方案实现了高达21.5位每像素（bpp）的有效载荷容量，同时保持38.24 dB的峰值信噪比的图像质量。
英文摘要：
Image steganography camouflages secret messages in images by tampering image contents. There is a natural desire for hiding maximum secret information with the least possible distortions in the host image. This requires an algorithm that intelligently optimizes the capacity keeping the required imperceptibility of the image. This paper presents an image steganography scheme that preserves an adaptively chosen block of dominant coefficients from each Discrete Cosine Transform coefficients, whereas the rest of the coefficients are replaced with normalized secret image pixel values. Secret image pixel value are normalized in an adaptively chosen range. Embedding such kind of normalized data in adaptively chosen non-square L- shaped blocks utilize maximum embedding space available in each block that consequently results in maximizing payload capacity, while maintaining the image quality. This scheme achieved payload capacity up to 21.5 bit per pixel (bpp), while maintaining image quality of 38.24 dB peak signal to noise ratio.
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