Information hiding algorithm for palette images based on HVS

Junling Ren
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Abstract

This article is based on Human Visual System (HVS). The carrier image is divided into three regions: the smooth region, the texture region and the fringe region. After the secret image being scrambled, the different merging coefficients are set in the respective region of the carrier image to mix the secret image and the carrier image together. According to the characteristics of the palette image, the scrambling coefficients are embedded into the carrier image palette to increase the confidentiality of the information. During carrier image partitioning, variation coefficient is introduced to describe the data dispersion degree of the image. Thus the stability of the threshold is enhanced, and a much better hiding effect on the secret information is achieved.
基于HVS的调色板图像信息隐藏算法
本文基于人类视觉系统(HVS)。将载体图像分为三个区域:平滑区、纹理区和边缘区。在对秘密图像进行置乱后,在载体图像的各自区域设置不同的合并系数,将秘密图像与载体图像混合在一起。根据调色板图像的特点,将置乱系数嵌入到载体图像调色板中,以增加信息的保密性。在载波图像分割时,引入变异系数来描述图像的数据分散程度。从而提高了阈值的稳定性,对秘密信息有了较好的隐藏效果。
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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