Blind Identification Technology of Computer Generated Image Based on Texture Recognition
With the popularization of digital products and the promotion of image processing software, it provides a way to tamper with the image. Therefore, the identification of natural images and computer generated images has become the focus of scholars’ research. In this paper, a blind identification technique for computer generated images based on texture recognition was proposed, and the algorithm and process of the blind identification of computer generated images based on texture recognition was described. Finally, through the analysis of the experimental data, it was concluded that the characteristic dimension K1 of the differential excitation information was 5 the most suitable, and the Sobel gradient direction information characteristic dimension K2 was 9.
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Document Type: Research Article
Affiliations: School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China
Publication date: 01 July 2017
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