An empirical cross-validation of denoising filters for PRNU extraction

The present work is an empirical study to check the importance of widely used PRNU extraction de-noising filters at different stages of source camera identification procedure. The proposed work is unique in the sense that it gives an idea about the choice of the appropriate de-noising filters at the time of PRNU extraction for formation of unique identification pattern of digital camera and noise residue extraction of query image. Also in this work, we have suggested the best values of σ (noise variance) for formation of unique identification pattern of digital camera and noise residue extraction of query image (based on empirical observations). This study has been performed to check that which part (camera unique identification pattern, noise residue, enhancement methods, and value of σ) mostly dominates the performance of source camera identification.