Identifying digital cameras using CFA interpolation

Abstract

In an earlier work [4], we proposed a technique for identifying digital camera models based on trace evidence left by their proprietary interpolation algorithms. This work improves on our previous approach by incorporating methods to better detect interpolation artifacts in smooth image parts. To identify the source camera model of a digital image, new features that can detect traces of low-order interpolation are introduced and used in conjunction with a support vector machine based multiclass classifier. Experimental results are presented for source camera identification from among multiple digital camera models.