Zhenjun Tang
Papers
1
Total Citations
79
H-Index
1
About
Zhenjun Tang is a leading researcher in digital image forensics, with a primary focus on detecting and characterizing image forgeries through signal processing techniques. His most cited work, "Estimation of Image Rotation Angle Using Interpolation-Related Spectral Signatures With Application to Blind Detection of Image Forgery" (2010, 79 citations), introduced a novel method for estimating rotation angles in tampered images by analyzing periodic artifacts introduced during image interpolation. Building on foundational work by Gallagher, Tang’s estimator exploits spectral signatures left by resampling operations, enabling blind detection of geometric manipulations without requiring the original image. This contribution is critical for authenticating digital media in forensic investigations. Tang’s research bridges computer vision and multimedia security, offering practical tools for exposing sophisticated forgeries. His work is widely cited by scholars advancing tamper detection, demonstrating its lasting impact on the field. By uncovering hidden traces of image editing, Tang has helped establish robust, passive forensic methods that operate under realistic, unconstrained conditions—a vital step toward trustworthy visual evidence in legal and journalistic contexts.
Research Focus
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Top Papers
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