The Frontiers of Society, Science and Technology, 2020, 2(4); doi: 10.25236/FSST.2020.020404.
Yang Junru, Sun Yuting
The People's Armed Police Sergeant School Hangzhou, 310007, China
With the rapid development of the Internet and the popularization of digital image equipment, digital images have become our main source of information. At the same time, the detection technology of malicious tampering with the original content of the image came into being and developed rapidly. For the enhancement of digital images, the color saturation of the image will often be modified to some extent. In the current research, few related documents detect the image saturation tampering. This paper proposes a feature-based detection algorithm for image tampering with Photoshop. In this paper, the mean and variance of the Gaussian fitting saturation histogram in HSV space, the mean value of the angle between the brightness and saturation in HSI space and the estimated noise variance are extracted respectively. The K -means cluster is used to classify the image blocks, marking the tampering part. Experimental results show that the proposed method has better detection results for local saturation tampering.
Blind Detection; Digital Image; Saturation
Yang Junru, Sun Yuting. Blind Detection of Digital Image Partial Saturation Manipulation. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 4: 11-21. https://doi.org/10.25236/FSST.2020.020404.
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