Invention Grant
- Patent Title: Super-resolution image processing
- Patent Title (中): 超分辨率图像处理
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Application No.: US10597561Application Date: 2005-02-01
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Publication No.: US08213746B2Publication Date: 2012-07-03
- Inventor: Karni Volovelsky , Motti Golan , Nitzan Goldberg
- Applicant: Karni Volovelsky , Motti Golan , Nitzan Goldberg
- Applicant Address: IL Haifa
- Assignee: Rafael Advanced Defence Systems Ltd
- Current Assignee: Rafael Advanced Defence Systems Ltd
- Current Assignee Address: IL Haifa
- Agent Mark M. Friedman
- Priority: IL160152 20040201
- International Application: PCT/IL2005/000116 WO 20050201
- International Announcement: WO2005/072060 WO 20050811
- Main IPC: G06K9/32
- IPC: G06K9/32 ; G09G5/02

Abstract:
A method for iterative derivation of a master image from sampled images of non-identical, at least partially overlapping, regions of a scene. The method includes defining a transformation operator mapping positions within the master image to corresponding positions in the sampled image; a distortion operator simulating a modulation transfer function associated with an imaging sensor from which the sampled image was generated; and a sampling operator for reducing an image from the output resolution to the resolution of the sampled image. For each sampled image the transformation operator, distortion operator and sampling operator are applied to a current master image hypothesis to generate a predicted image A difference image is calculated which has pixel values corresponding to the difference in corresponding pixel values between the sampled image and the predicted image. A back-projection of each of the difference images is performed to generate a correction image for the current master image hypothesis. Finally, the correction images are employed to perform a correction to the current master image hypothesis to generate a new master image hypothesis. The correction to the current master image hypothesis includes combining the correction images by deriving a weighted average of values of corresponding pixels in the correction images. The weight of each pixel in each correction image is calculated as a function of a distance as measured in the sampled image between: a point in the sampled image to which the pixel in the correction image is mapped by the transformation operator, and at least one pixel centroid proximal to that point.
Public/Granted literature
- US20080260279A1 SUPER-RESOLUTION IMAGE PROCESSING Public/Granted day:2008-10-23
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