Detecting doctored images using camera response normality and consistency
US7505606B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2005 |
| Grant date | Mar 17, 2009 |
| Priority date | — |
| Expiry date | Nov 1, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the invention determine whether an image has been altered. Sets of patches are selected in the image, and corresponding inverse response functions are provided to a support vector machine (SVM). The support vector machine is trained with exemplary normal and abnormal inverse response functions. Once trained, the support vector machine analyzes inverse response functions corresponding to a suspected image. The support vector machine determines if the inverse response functions are normal or abnormal by analyzing a set of features. In one embodiment, features include measures for monotonic characteristics, fluctuation characteristics, and divergence characteristics of the red, green, and blue components of a tuple. Each tuple of inverse response functions is associated with a set of patches selected in the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.