Accurate PSF (Point Spread Function) estimation and image deconvolution are two key point problems during motion blur image deblurring. Aimed at these key problems, a motion deblurring framework based on hybrid coded exposure camera was proposed. The hybrid coded exposure camera is made up of a high-speed stereo camera and a high-resolution coded exposure camera. The coded exposure camera is the main camera which uses a kind of binary code to control the shutter during the exposure time. As a secondary motion sensor, the stereo camera can capture three image pairs in the beginning, middle and the end time of the coded exposure camera’s exposure time. An algorithm based on the binary code and the motion parameters was proposed to estimate the accurate PSFs of the coded exposure images. The motion parameters are obtained by a motion measurement algorithm based on the stereo vision. Direct deconvolution algorithm was used for deblurring the blur images. The experiment results show that the technique aforementioned can deblur constant acceleration motion blur images effectually and quickly.