Content-adaptive reversible data hiding with multi-stage prediction schemes
學年 114
學期 1
出版（發表）日期 2025-10-08
作品名稱 Content-adaptive reversible data hiding with multi-stage prediction schemes
作品名稱（其他語言）
著者 Hsiang-Cheh Huang; Feng-Cheng Chang; Hong-Yi Li
單位
出版者
著錄名稱、卷期、頁數 Sensors 25(19)
摘要 With the proliferation of image-capturing and display-enabled IoT devices, ensuring the authenticity and integrity of visual data has become increasingly critical, especially in light of emerging cybersecurity threats and powerful generative AI tools. One of the major challenges in such sensor-based systems is the ability to protect privacy while maintaining data usability. Reversible data hiding has attracted growing attention due to its reversibility and ease of implementation, making it a viable solution for secure image communication in IoT environments. In this paper, we propose reversible data hiding techniques tailored to the content characteristics of images. Our approach leverages subsampling and quadtree partitioning, combined with multi-stage prediction schemes, to generate a predicted image aligned with the original. Secret information is embedded by analyzing the difference histogram between the original and predicted images, and enhanced through multi-round rotation techniques and a multi-level embedding strategy to boost capacity. By employing both subsampling and quadtree decomposition, the embedding strategy dynamically adapts to the inherent characteristics of the input image. Furthermore, we investigate the trade-off between embedding capacity and marked image quality. Experimental results demonstrate improved embedding performance, high visual fidelity, and low implementation complexity, highlighting the method’s suitability for resource-constrained IoT applications.
關鍵字 reversible data hiding;content inherent characteristics;weighted average prediction;difference histogram;quadtree decomposition
語言 en_US
ISSN 1424-8220
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128148 )