Restoration of motion blurred image in dual CMOS imaging system

To obtain high spatial resolution images, a imaging system with two CMOSs was designed to acquire the same scene images simultaneously. Among them, one CMOS sensor was used to acquire high frame rate, low spatial resolution image sequences, and the other one to acquire low frame rate, high spatial resolution images. Firstly, the global motion path was obtained by computing the high frame rate, low resolution image sequences acquired by the CMOS sensor using optical flow method. Then, under the constraint conditions of energy conservation and the energy to be proportional to integration interval, the initial motion blur kernel was estimated and motion blur kernel was optimized by using alternating iterative method based on Bayesian criterion. Finally, a sharp image was restored quickly and effectively from the low frame rate, high spatial resolution blur image acquired by the CMOS sensor using TV-L1 algorithm. Simulation and experiment results indicate that more than 38% simulation images show their error ratios to be less than 2, and has little affected by noises. Restored images have smaller ringing artifacts, and the space-invariance motion blurred photographs can be deblurred effectively.