Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition

The blurred images obtained using conventional cameras usually lack high-frequency details due to the impulse response associated with long exposure. This leads to imperfect reconstruction of the underlying scene. It has been shown that flutter-shutter (FS) cameras retain the high-frequency details by physically controlling the characteristics of exposure. This technique has been explored for conditions of fixed camera with objects moving in 1-D. In this paper, we propose a technique that is applicable to 2-D motion. First, we propose the use of fast iterative shrinkage thresholding algorithm (FISTA) for reconstruction of the underlying image convolved with slightly complex blurs. Second, we propose a new acquisition technique, called controlled blurring, which preserves high-frequency image content better than a flutter-shutter camera.