Critical examination of the slanted-edge method for color SFR measurement reveals inaccuracies in the estimated SFR, due to the use of demosaicing. The proposed method resolves these inaccuracies by eliminating the need for demosaicing during SFR measurement. OCIS codes: (110.4100) Modulation transfer function; (110.4850) Optical transfer functions
IntroductionThe spatial frequency response (SFR) of a digital image acquisition system is an objective measure of image quality that describes an imaging system's ability to capture or maintain the relative radiometric contrast of increasingly fine sinusoidal patterns [1]. The SFR neatly encapsulates the influence of the optical elements, the pixel MTF and the camera electronics, on image quality.The slanted-edge algorithm outlined in the ISO12233 standard is the most celebrated method for identifying the SFR, and finds widespread use in diverse disciplines such as remote sensing and radiology. The benefit of the slanted-edge method over its counterparts lies in the relative ease with which the SFR can be determined for aliased imaging systems. The method relies on the analysis of the sampled image of a slanted edge. It exploits the variation in the sampling phase of the slanted edge to create a "super-resolved" edge response, whose resolution exceeds the sensor's native resolution.Our investigations into the slanted-edge algorithm and tools based on the algorithm have revealed an interesting fact: demosaicing 1 influences the SFR estimates of color cameras. The SFR plots of Fig.1 illustrate this behavior.