Name
Title | ||
|---|---|---|
Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU |
Abstract | ||
|---|---|---|
A novel identification approach for identifying photographic images (PIM) and photorealistic computer graphics (PRCG) is proposed by using multifractal spectrum features of photo response non-uniformity noise (PRNU). 8 dimensions of mul-tifractal spectrum features of PRNU are extracted to represent the subtle differences between them, and the identification is carried out by using a support vector machine (SVM) classifier. Experimental results and analysis indicate that the proposed method can achieve an average identification accuracy of 98.99%, and has good performance in the ratios between training samples and testing samples. Besides, it is robust against some manipulations such as adding noise, JPEG compression and motion blur. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICME.2014.6890296 | ICME |
Keywords | Field | DocType |
multifractal spectrum features,prcg,identifying photographic images,motion blur,fractals,computer graphics,multifractal spectrum,svm classifier,digital image forensics,photographic applications,pim,support vector machine,prnu,source identification,photorealistic computer graphics,photo response nonuniformity noise,jpeg compression,image forensics,support vector machines,noise,testing,accuracy,feature extraction,gray scale | Computer vision,Pattern recognition,Computer science,Support vector machine,Fractal,Motion blur,Feature extraction,Artificial intelligence,Classifier (linguistics),Computer graphics,Multifractal system,Grayscale | Conference |
ISSN | Citations | PageRank |
1945-7871 | 3 | 0.41 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Peng | 1 | 360 | 38.79 |
| Jiaoling Shi | 2 | 3 | 0.41 |
| Min Long | 3 | 179 | 23.63 |