用伪随机选像素提升图像隐写安全与质量
A Novel APVD Steganography Technique Incorporating Pseudorandom Pixel Selection for Robust Image Security
- 结合自适应像素值差分与伪随机选点，解决隐藏漏洞
- PSNR、SSIM等指标优于现有方法，图像保真度高
- 适配彩色与灰度图，适合需要隐蔽传输的场景
隐写术是将秘密信息隐蔽嵌入载体以实现机密数据安全交换的技术。自适应像素值差分（APVD）隐写虽有效，但仍存在‘未使用块’问题，导致安全性下降、嵌入容量受限及视觉质量变差。本文提出一种新策略，将APVD与伪随机像素选择相结合，有效缓解上述缺陷。实验表明，该方法在安全性、嵌入容量和图像质量方面均优于现有技术。关键图像质量指标如峰值信噪比（PSNR）、通用图像质量指数（UIQ）和结构相似性指数（SSIM）均有显著提升，性能超越当前主流方法。所提方法具备广泛适用性，可处理多种颜色与灰度的载体与秘密图像，实现隐蔽传输的同时保持图像美学质量。
原文摘要 · Abstract (English)
Steganography is the process of embedding secret information discreetly within a carrier, ensuring secure exchange of confidential data. The Adaptive Pixel Value Differencing (APVD) steganography method, while effective, encounters certain challenges like the "unused blocks" issue. This problem can cause a decrease in security, compromise the embedding capacity, and lead to lower visual quality. This research presents a novel steganographic strategy that integrates APVD with pseudorandom pixel selection to effectively mitigate these issues. The results indicate that the new method outperforms existing techniques in aspects of security, data hiding capacity, and the preservation of image quality. Empirical results reveal that the combination of APVD with pseudorandom pixel selection significantly enhances key image quality metrics such as Peak Signal-to-Noise Ratio (PSNR), Universal Image Quality Index (UIQ), and Structural Similarity Index (SSIM), surpassing other contemporary methods in performance. The newly proposed method is versatile, able to handle a variety of cover and secret images in both color and grayscale, thereby ensuring secure data transmission without compromising the aesthetic quality of the image.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。