A minimum distortion data hiding technique for compressed images

Ç. Candan, N. Jayant
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引用次数: 2

Abstract

We present a blind data hiding method for JPEG compressed images, which minimizes the perceptual distortion due to data embedding. The proposed system presents a number of options to the encoder to cast the given hidden bits in the compressed content signal. The perceptual distortion cost of each option is calculated from the parameters available to the encoder such as the original image, quantization error due to compression and just noticeable distortion (JND) levels of the original image derived through an empirical human visual system model. The encoder selects the option with the minimum JND cost to cast the hidden bits. By the definition of blind decoding, the decoder should be able to extract the hidden bits without any side information on the option selected or the parameters available to the encoder. The decoder of the proposed system uses simple binary addition on their received transform coefficients to extract the hidden bits blindly. System performance is examined by computer experiments at different compression levels and at different embedding bitrates.
压缩图像的最小失真数据隐藏技术
提出了一种针对JPEG压缩图像的盲数据隐藏方法,该方法最大限度地减少了由于数据嵌入引起的感知失真。提出的系统为编码器提供了许多选项,以在压缩内容信号中转换给定的隐藏位。每个选项的感知失真代价是根据编码器可用的参数来计算的,如原始图像、由于压缩引起的量化误差和通过经验人类视觉系统模型得出的原始图像的刚刚明显失真(JND)水平。编码器选择具有最小JND代价的选项来转换隐藏位。根据盲解码的定义,解码器应该能够提取隐藏位,而不需要任何关于所选选项或编码器可用参数的侧信息。该系统的解码器对接收到的变换系数进行简单的二进制相加,盲目提取隐藏位。在不同的压缩水平和不同的嵌入比特率下,通过计算机实验检验了系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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