A patch analysis method to detect seam carved images
We propose a patch analysis approach to detecting seam-carved images. Images are divided into 22 blocks and the optimal patch type for each block is selected. Analyzing the patch transition probability achieves currently best detection accuracy. This method can be extended to identify the hot regions frequently crossed by carved seams.
seam carving content-aware image processing digital forensics steganography attacking