Aliasing inuence reduction method for the estimation of compressive imaging system's modulation transfer function

A method to reduce the signal aliasing influence on the Modulation Transfer Function (MTF) estimation is proposed in this study. The reduction of signal aliasing influence is realized by fitting Fermi function to the edge spread function that is estimated by modified slanted-edge method. The proposed method is suitable to measure the MTF of compressive imaging system, which is an aliased imaging system. The results of experiments show that the accuracy of the estimated MTF is improved when the proposed method is used. The cutoff frequency and the area under MTF of the compressive imaging system are also evaluated based on the proposed MTF estimation method. ©, 2015, Journal of Information and Computational Science. All right reserved.