Resolving Objects at Higher Resolution from a Single Motion-blurred Image

Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing the resolution of a moving object. Our approach utilizes the information in a single motion-blurred image without any image priors or training images. As the blur size increases, the resolution of the moving object can be enhanced by a larger factor, albeit with a corresponding increase in reconstruction noise. Traditionally, motion deblurring and super-resolution have been ill-posed problems. Using a coded-exposure camera that preserves high spatial frequencies in the blurred image, we present a linear algorithm for the combined problem of deblurring and resolution enhancement and analyze the invertibility of the resulting linear system. We also show a method to selectively enhance the resolution of a narrow region of high-frequency features, when the resolution of the entire moving object cannot be increas...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Amit K. Agrawal, Ramesh Raskar
• Keywords: Blur Size, Computer Vision, CVPR 2007, Entire Moving Object, Motion Blur, Small Motion Blur, Times Resolution Enhancement