基于空间位置优化的多通道PVO可逆信息隐藏

doi:10.3969/j.issn.0255-8297.2025.03.003

摘要/Abstract

摘要： 本文提出了一种基于空间位置优化的多通道像素值排序算法，该方法将目标图像划分为多个3￡3像素的子块，充分利用各个像素的空间位置关系，将所有像素分成两部分进行两轮嵌入，第1轮基于空间位置对像素块的边缘像素预测嵌入，第2轮则先对部分像素值进行重新生成，再基于多通道像素值排序的算法对像素值进行中间像素排序嵌入，充分利用了空间位置和像素值大小的相关性。实验结果表明，像素值的重新生成提高了多通道排序算法中的嵌入效率。本文算法在保证可逆性的前提下，不但提升了嵌入容量，而且在峰值信噪比方面表现优异，保证了嵌入后的图像质量，可满足实际应用需求。

关键词: 可逆信息隐藏, 像素值排序, 空间位置优化, 多通道预测, 预测误差, 嵌入容量

Abstract: In this paper, an optimized multi-pass pixel value ordering (PVO) algorithm based on spatial position is proposed. The target image is first divided into multiple subblocks of 3 ￡ 3 pixels. By fully integrating the spatial positions of each pixel, all pixels are partitioned into two groups for two rounds of embedding. In the first round, the edge pixels of the pixel block are predicted and embedded based on their spatial positions. In the second round, some pixel values are regenerated first, and then the middle pixels are sorted and embedded according to the multi-pass pixel value ordering algorithm, thereby fully exploiting the correlation between spatial position and pixel value size. Experimental results show that the regeneration of pixel values improves the embedding efficiency in the multi-pass sorting algorithm. While ensuring reversibility, the proposed algorithm not only enhances the embedding capacity, but also achieves excellent peak signal to noise ratio performance, ensuring the image quality after embedding and meeting practical application requirements.

Key words: reversible data hiding, pixel value ordering, spatial location optimization, multi-pass prediction, prediction error, embedding capacity

中图分类号:

TP309.7

周彤洋, 唐鑫, 许晨, 宋楚乔, 白晶, 邹一飞. 基于空间位置优化的多通道PVO可逆信息隐藏[J]. 应用科学学报, 2025, 43(3): 387-402.

ZHOU Tongyang, TANG Xin, XU Yichen, SONG Chuqiao, BAI Jing, ZOU Yifei. Multi-pass PVO Reversible Data Hiding Based on Spatial Location Optimization[J]. Journal of Applied Sciences, 2025, 43(3): 387-402.

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