Unambiguous interpolation rate estimation in uncompressed resized color digital images

A method is proposed for unambiguously determining the interpolation rate in uncompressed resized color images over a broad range of possible rates, thus overcoming the uncertainty exposed in previous papers. Information from the three RGB channels is combined to improve performance. Experimental results show high reliability in the posteriori probability of correct classification, yielding an average value of 81.7% and 90.3% in the case of images with a CFA type sensor. The proposed method is also used for the automatic detection of CFA traces with good results.