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This paper presents a new semi-fragile algorithm for image tamper detectionand recovery, which is based on region attention and two-sided circular blockdependency. This method categorizes the image blocks into three categoriesaccording to their texture. In this method, less information is extracted fromareas with the smooth texture, and more information is extracted from areaswith the rough texture. Also, the extracted information for each type of blocksis embedded in another block with the same type. So, changes in the smoothareas are invisible to Human Visual System. To increase the localization powera two-sided circular block dependency is proposed, which is able to distinguishpartially destroyed blocks. Pairwise block dependency and circular blockdependency, which are common methods in the block-based tamper detection, arenot able to distinguish the partially destroyed blocks. Cubic interpolation isused in order to decrease the blocking effects in the recovery phase. Theresults of the proposed method for regions with different texture show that theproposed method is superior to non-region-attention based methods.

Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency