Taking satisfactory photos under dim lighting conditions using a hand-held camera is
challenging. If the camera is set to a long exposure time, the image is blurred due to camera …

Video stabilization is an important video enhancement technology which aims at removing
annoying shaky motion from videos. We propose a practical and robust approach of video …

Motion blur due to camera motion can significantly degrade the quality of an image. Since
the path of the camera motion can be arbitrary, deblurring of motion blurred images is a hard …

An image acquisition sensor of a digital image acquisition apparatus is coupled to imaging
optics for acquiring a sequence of images. Images acquired by the sensor are stored. A …

Motion blur is a smearing of the image due to a long aperture time. We show that when two
motion-blurred images are available, having different blur directions, image restoration can …

A method of combining image data from multiple frames to enhance one or more parameters
of video image quality includes acquiring a first image at a first exposure duration, as well as …

Self-supervised deep learning methods for joint depth and ego-motion estimation can yield
accurate trajectories without needing ground-truth training data. However, as they typically …

Video cameras must produce images at a reasonable frame-rate and with a reasonable
depth of field. These requirements impose fundamental physical limits on the spatial …

A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …

Motion blur due to camera motion can significantly degrade the quality of an image. Since
the path of the camera motion can be arbitrary, deblurring of motion blurred images is a hard …