Abstract:

In view of the perceptual differences between photographic and computer generated images primarily existed in statistical features, an identification algorithm for photographic and computer generated images was proposed, which is based on fractal dimension and wavelet domain features. The algorithm that is based on the statistical characteristics was used to recognize the authenticity of images. In the process of our experiment, 800 standard images were used as the image database, the support vector machine was used as the classifier, and the detection accuracy rate of the computer generated images could reach 96.5% in the algorithm. It has significantly improved the accuracy of identifying computer generated images, and provides a guarantee of the authenticity of the digital image.

Key words: photographic image, computer generated image, wavelet domain, fractal dimension, support vector machine