Name
Title | ||
|---|---|---|
An Effective Detection Method Based on Physical Traits of Recaptured Images on LCD Screens. |
Abstract | ||
|---|---|---|
The detection of recaptured images plays a particular role in public security forensics. Although researches achieve some progress, low quality of image samples and long time consuming for feature extraction are still prominent problems. From the analysis to the photography process, we present two effective features for distinguishing high-resolution and high-quality recaptured images from LCD screens. One feature is the block effect and blurriness effect caused by JPEG compression, and the other feature is screen effect described by wavelet decomposition with aliasing-enhancement preprocessing. Experiments show that the proposed scheme obtains outstanding performances, which is fast and has higher discriminative accuracy. |
Year | Venue | Field |
|---|---|---|
2015 | IWDW | Computer vision,Wavelet decomposition,Block effect,Computer science,Feature extraction,Preprocessor,Photography,Liquid-crystal display,Artificial intelligence,Discriminative model,Public security |
DocType | Citations | PageRank |
Conference | 3 | 0.54 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruihan Li | 1 | 3 | 0.88 |
| Rongrong Ni | 2 | 718 | 53.52 |
| Yao Zhao | 3 | 1926 | 219.11 |