Electro-optical imaging system identification using pseudo-random binary pattern

A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable, linear, time-invariant, and causal filter, and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator, and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process, overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.