MOTION BLUR MODELING FOR IMAGE FORMATION
First Claim
Patent Images
1. A motion blur modeling method for image formation, comprising:
- obtaining image data utilized to form a particular image taken by a camera of a subject;
obtaining velocity vector data for the subject at the time the image was taken;
defining a convolution kernel for use formation of the particular image and based upon the velocity vector data; and
applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image.
1 Assignment
0 Petitions
Accused Products
Abstract
The present disclosure includes motion blur modeling methods and systems for image formation. One motion blur modeling method for image formation includes obtaining image data utilized to form a particular image taken by a camera of a subject, obtaining velocity vector data for the subject at the time the image was taken, defining a convolution kernel for use formation of the particular image and based upon the velocity vector data, and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image.
-
Citations
20 Claims
-
1. A motion blur modeling method for image formation, comprising:
-
obtaining image data utilized to form a particular image taken by a camera of a subject; obtaining velocity vector data for the subject at the time the image was taken; defining a convolution kernel for use formation of the particular image and based upon the velocity vector data; and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. An image formation system, comprising:
-
a camera for capturing image data utilized to form a particular image taken by a camera of a subject; a velocity vector estimator for identifying a velocity vector and generating velocity vector data for the subject at the time the image was taken; memory for the storage of at least one of image data and velocity vector data; an image processor for defining a convolution kernel for use in formation of the particular image and based upon the velocity vector data and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image. - View Dependent Claims (9, 10, 11, 12, 13, 14)
-
-
15. A non-transitory computer readable medium having computer-executable instructions stored thereon for execution by a processor to provide a motion blur modeling method for image formation, the method including:
-
obtaining image data utilized to form a particular image taken by a camera of a subject; obtaining velocity vector data for the subject at the time the image was taken; defining a convolution kernel for use formation of the particular image and based upon the velocity vector data; and applying the convolution kernel to the image data to produce a de-blurred set of image data utilized to form the particular image. - View Dependent Claims (16, 17, 18, 19, 20)
-
Specification