Improved Fluctuation Derived Block Selection Strategy in Pixel Value Ordering Based Reversible Data Hiding

平滑度 像素 计算机科学 块(置换群论) 背景(考古学) 选择(遗传算法) 价值(数学) 算法 图像(数学) 信息隐藏 数学优化 人工智能 数学 机器学习 数学分析 古生物学 几何学 生物
作者
Xin Tang,Linna Zhou,Guangming Tang,Yuchen Wen,Yixuan Cheng
出处
期刊:Lecture Notes in Computer Science 卷期号:: 163-177 被引量:2
标识
DOI:10.1007/978-3-030-95398-0_12
摘要

Block selection strategy is an effective technique to improve the imperceptibility in pixel value ordering (PVO) based reversible data hiding by selecting blocks with higher smoothness to embed data at first, which largely reduces invalid shifting of pixels before the maximum capacity is reached. As a means to evaluate the smoothness of a certain block selected, fluctuation value is defined accordingly. However, in current solutions, the definition of fluctuation value is not always accurate enough to reflect the true smoothness of blocks, which is usually restrained by the number of pixels participating in calculation as well as those invalid ones introduced. In this paper, we improved the definition of fluctuation in order to achieve a better performance. Take the maximum side for example, context pixels participating in fluctuation calculation are determined at first, considering the second largest pixel as well as neighborhood of the largest pixel simultaneously. Then those invalid ones are eliminated to reduce unnecessary uncertainty introduced. Experimental results show that our proposed scheme outperforms the state-of-the art in accuracy of smoothness evaluation, and achieves a better imperceptibility as a result.

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