Evaluation methodology for Bayer demosaic algorithms in camera phones

The current approach used for demosaic algorithm evaluation is mostly empirical and does not offer a meaningful quantitative metric - this disconnects the theoretical results from the results seen in practice. In camera phones, the difference is even bigger due to the low signal to noise ratios and also due to the overlapping of the color filters. This implies that a demosaic algorithm has to be designed to allow for graceful degradation in presence of noise. Also, the demosaic algorithm has to be tolerant to high color correlations. In this paper we propose a special class of images and a methodology that can be used to produce a metric indicative of a real case demosaic algorithm performance. The test image that we propose is formed by using a dual chirp signal that is a function of the distance from the center.