Identification of Motion Blurred Parameter by using T-norm Operator

Motion blur is one of common blurs that degrades images. Restoration of image is highly dependent on estimation of motion blur parameters. In this paper it has presented a novel algorithm (FSA) to estimate linear motion blur parameters such as direction and extend by using radon transform to find direction and t-norm operator to find its extend. The method was tested on a wide range of different type of standard images that were degraded. Compared to AR model algorithm, the algorithm´s robustness and precision in noisy images is improved greatly. Though SNR is rather low, it still gets highly satisfactory result.