Iterative filtering for semi-fragile self-recovery
Paweł Korus, Jarosław Białas, Andrzej Dziech · 2014
In this paper we propose a novel scheme for semifragile self-recovery based on iterative filtering of randomly sampled image sections. The scheme exhibits very good robustness against both malicious tampering and lossy JPEG compression with only slight deterioration of the reconstruction quality with attack strength. We describe the operation of the proposed scheme and present the results of its experimental evaluation. We also compare our approach with two state-of-the-art alternatives described in the literature.