The usage of this PDF file must comply with the IEICE Provisions on Copyright. The author(s) can distribute this PDF file for research and educational (nonprofit) purposes only. Distribution by anyone other than the author(s) is prohibited.  PAPER Seung-Jin RYU † , Nonmember, Hae-Yeoun LEE † † , Member, and Heung-Kyu LEE †a) , Nonmember SUMMARY Seam carving, which preserves semantically important image content during resizing process, has been actively researched in recent years. This paper proposes a novel forensic technique to detect the trace of seam carving. We exploit the energy bias and noise level of images under analysis to reliably unveil the evidence of seam carving. Furthermore, we design a detector investigating the relationship among neighboring pixels to estimate the inserted seams. Experimental results from a large set of test images indicates the superior performance of the proposed methods for both seam carving and seam insertion.
Ryu et al. REF proposed a detection approach based on the noise and energy bias features to detect traces of seam carving and seam insertion and obtain a better detection result.
Detecting Trace of Seam Carving for Forensic Analysis
IEICE Transactions
IEICE Transactions
Computer Science