Research And Implementation Of Technology For Restoration Of Motion-blurred Images

The restoration of motion-blurred images is a familiar and also difficult type in image restoration, thus the study of the motion-blurred image restoration is of very extensive operation significance. Towards the license plate recognition application, we systemically study and implement the technology of motion-blurred image restoration.The key problem of restoring constant-speed straight-line motion-blurred images lies in the estimation of motion-blurred direction and motion-blurred length. The original image obeys isotropy Markov process with rank one, can efficiently identify it with high precision via on directional derivation using bilinear interpolation; realizes automatic estimation of motion-blurred length; according to the reason and condition of black strips in the spectrum images of motion-blurred images and specified the exact positions of black strips, a method to accurately estimate the blurring length of uniform linear motion blurred images is implemented.For the restoration of motion-blurred images in complex imaging environment, this paper emphasizes on the restoration of noisy motion-blurred images and partial motion-blurred images, realizes a combined filter using both the salt-and-pepper noise detector and radial basis function network approaches, and devises the picking estimation for partial motion-blurred images.We develop a system of motion-blurred license plate images restoration. The system results in precise discrimination for blurred length and blurred direction, to the noisy motion-blurred image and partial blurred image, the system can implement the process of wiping out noises and picking up the partial blurred objects, and realizes the perfect restoration effects with the help of arithmetic adjusting system. The legible restoration of motion-blurred license plate images is implemented, and the restoration image can be applied directly to the license identification.