Algorithm and device for image processing
AssigneeNikon Corporation
InventorsRadka Tezaur, Gazi Ali, Tetsuji Kamata
Life of this patent
Estimating the term…
Abstract
Deblurring a blurry image (14) includes the steps of (i) computing a spatial mask (256); (ii) computing a modified blurry image (264) using the blurry image (14) and the spatial mask (256); and (iii) computing a latent sharp image (16) using the modified blurry image (264) and a point spread function (260). Additionally, the image (714) to can be analyzed to identify areas of the image (714) that are suitable for point spread function estimation. Moreover, a region point spread function (1630) can be analyzed to classify the point spread function(s) as representing (i) motion blur, (ii) defocus blur, or (iii) mixed motion blur and defocus blur. A point spread function (2670) can also be estimated
Claims21
1-17. (canceled)
A method for evaluating an image to identify areas of the image that are suitable for point spread function estimation, the method comprising:
- selecting a first image region from the image with a control system that includes a processor, the first image region including a plurality of pixels;
- estimating gradients in at least a portion of the first image region with the control system by analyzing a least a portion of the pixels in the first image region;
- and
- identifying a first region feature that is a low-level feature that is related to an accuracy of the point spread function estimation using the control system based on a first feature value calculated utilizing the gradients in the at least a portion of the first image region.
A system for evaluating an image to identify areas of the image that are suitable for point spread function estimation, the system comprising:
- a control system that includes a processor that (i) selects a first image region from the image, the first image region including a plurality of pixels;
- (ii) estimates gradients in at least a portion of the first image region by analyzing a least a portion of the pixels in the first image region;
- and (iii) identifies a first region feature that is a low-level feature that is related to an accuracy of the point spread function estimation based on a first feature value calculated utilizing the gradients in the at least a portion of the first image region.
Dependencies are inferred from the claim text.