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Blind Identification Technology of Computer Generated Image Based on Texture Recognition

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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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Keywords: Blind Identification; Blind Identification Technology; Computer Generated Image; Texture Recognition

Document Type: Research Article

Affiliations: School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China

Publication date: 01 July 2017

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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