Evaluation of a Framework for Robust Image Reversible Watermarking

Autor: Jose Juan Garcia-Hernandez, Claudia Feregrino-Uribe, Alejandra Menendez-Ortiz, Dan Williams Robledo-Cruz
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Applied Sciences, Vol 12, Iss 14, p 7242 (2022)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app12147242
Popis: In the literature, robust reversible watermarking schemes (RWSs) allow the extraction of watermarks after the images have suffered attacks; however, the modified images are compromised. On the other hand, self-recovery schemes will restore the compromised regions of the images, but no secret messages are inserted in these schemes. A framework for robust reversible watermarking with signal restoration capabilities was previously proposed in the literature. This study selects four fragile reversible watermarking techniques and two self-recovery schemes to design different framework configurations. These configurations are evaluated to test the framework’s performance and determine the structure that yields better results in terms of perceptual transparency using a well-known image database as the signal input. It was found that fragile reversible watermarking schemes hold low perceptual distortion, while self-recovery schemes produce high perceptual distortion levels. The inherent characteristics of each algorithm determine, a priori, the behavior of the framework, which is approximated by a proposed equation.
Databáze: Directory of Open Access Journals