1 research outputs found
Semi-fragile Tamper Detection and Recovery based on Region Categorization and Two-Sided Circular Block Dependency
This paper presents a new semi-fragile algorithm for image tamper detection
and recovery, which is based on region attention and two-sided circular block
dependency. This method categorizes the image blocks into three categories
according to their texture. In this method, less information is extracted from
areas with the smooth texture, and more information is extracted from areas
with the rough texture. Also, the extracted information for each type of blocks
is embedded in another block with the same type. So, changes in the smooth
areas are invisible to Human Visual System. To increase the localization power
a two-sided circular block dependency is proposed, which is able to distinguish
partially destroyed blocks. Pairwise block dependency and circular block
dependency, which are common methods in the block-based tamper detection, are
not able to distinguish the partially destroyed blocks. Cubic interpolation is
used in order to decrease the blocking effects in the recovery phase. The
results of the proposed method for regions with different texture show that the
proposed method is superior to non-region-attention based methods