Affiliations: [a] College of Information and Electronic Engineering, Liming Vocational University, Quanzhou, Fujian, China | [b] School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China
Correspondence:
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Corresponding author: Yongzhen Ke, School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjian, China. E-mail: [email protected].
Abstract: Seam carving has been successfully applied to resize and deliberately remove objects from digital images. The proliferation of seam carving makes a serious challenge in image forensics. In this paper, we propose a blind detection method for seam insertion images and try to recover the original image from seam inserted image. Because the corresponding pixel in every selected seam is removed and replaced by two pixels, whose values are computed by averaging its value with their left and right neighbors in a seam insertion image. The location of the inserted pixels can be estimated by analyzing correlation between adjacent pixels. Based on estimated insertion pixels, we make an attempt to derive the original value for recovering the original image. Our experimental results show that our proposed detection method achieves better detection rate compared with other existing seam insertion detection methods. Meanwhile, our method can locate most of the inserted pixels and recovery the original image.
