Jul 9, 2014 · This article describes a mathematical method to distinguish computer graphics (CG) from photographic images (PG).
Experimental result indicates the mathematical method described is capable to identify computer generated images from camera produced images with 95.43 ...
Examining the identification of natural images (NI) and computer generated graphics (CG), a novel method is proposed based on hybrid features.
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In our work, we propose and develop a new framework based on an aggregate of existing features. Our framework has a classification accuracy of 90% when tested ...
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A Hybrid Feature Based Method for Distinguishing Computer Graphics and Photo-Graphic Image. Chapter © 2014. Identification of Natural Images and Computer ...
Examining the identification of natural images (NI) and computer generated graphics (CG), a novel method is proposed based on hybrid features.
The proposed algorithm is able to differentiate between computer generated images (CGIs), natural images (NIs), spliced images, copy moved tampered images and ...
... Hybrid Feature Based Method for Distinguishing Computer Graphics and Photo-Graphic image. In: Proceedings of 12th International Workshop on Digital ...
This paper proposes a method to distinguish CG images from PG images using a two-stream convolutional neural network (CNN).
This work proposes a convolutional neural network (CNN)-based model to distinguish computergenerated images from natural images (NIs) with channel and pixel ...