Showing papers on "Motion blur published in 1994"
13 Nov 1994
TL;DR: This work develops a formulation that simultaneously takes into account blurring due to relative sensor-object motion, sensor integration, and additive noise, and proposes a POCS-based algorithm for performing the high-resolution reconstruction.
Abstract: We address the problem of reconstruction of a high-resolution image from a sequence of low-resolution images containing arbitrary relative motion, excluding occlusion effects. We develop a formulation that simultaneously takes into account blurring due to relative sensor-object motion, sensor integration, and additive noise. We propose a POCS-based algorithm for performing the high-resolution reconstruction, and provide experimental results. >
104 citations
TL;DR: A new identification method of motion and out-of-focus blur is proposed which can be implemented into a simple hardware and can identify the cause of the blur that is either camera panning or the motion of object.
Abstract: A new identification method of motion and out-of-focus blur is proposed which can be implemented into a simple hardware. In the blur state of an image, this method can distinguish whether it is caused by a motion of the object or by the out-of-focus state of the image. Furthermore, in the case of motion blur, it can identify the cause of the blur that is either camera panning or the motion of object. The whole process can be finished in each field. >
15 citations
01 Mar 1994
TL;DR: The proposed features are invariant with respect to motion velocity, are based on image moments and are calculated directly from the blurred image, and are able to describe the original image without the PSF identification and image restoration.
Abstract: Recognition of Images Degraded by Linear Motion Blur without Restoration. The paper is devoted to the feature-based description of images degraded by linear motion blur. The proposed features are invariant with respect to motion velocity, are based on image moments and are calculated directly from the blurred image. In that way, we are able to describe the original image without the PSF identification and image restoration. In many applications (such as in image recognition against a database) our approach is much more effective than the traditional “blind-restoration” one. The derivation of the motion blur invariants is a major theoretical result of the paper. Numerical experiments are presented to illustrate the utilization of the invariants for blurred image description. Stability of the invariants with respect to additive random noise is also discussed and is shown to be sufficiently high. Finally, another set of features which are invariant not only to motion velocity but also to motion direction is introduced.
7 citations
05 Dec 1994
TL;DR: In this paper, a sight line following module on the base of a video camera/rotating mirror set is proposed to reduce motion blur to 1/1000 of the view field of the camera.
Abstract: In order to online inspect the surface quality of fast moving plate material (such as aluminium or steel plate, textile, paper, etc) with image processing technique, one of the most troublesome problems is image blur due to motion. At motion speed>5m/s, shortening exposure or flashing time helps very little. We worked out a sight line following module on the base of a video camera/rotating mirror set to reduce blur to a minimum. Experiments on a prototype show that motion blur can be reduced to the order of 1/1000 of the view field of the camera. >
3 citations