US2017140510A1PendingUtilityA1
Jagged edge reduction using kernel regression
Assignee: SHARP LABORATORIES AMERICA INCPriority: Nov 30, 2012Filed: Jan 30, 2017Published: May 18, 2017
Est. expiryNov 30, 2032(~6.3 yrs left)· nominal 20-yr term from priority
G06T 2207/10024G06T 5/20G06T 7/13G06T 2207/20024G06T 2207/20016G06T 3/403G06T 2207/20192G06T 2207/10004G06T 5/003G06T 5/73G06T 3/40
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Claims
Abstract
An apparatus may include a processor and memory to store instructions to direct the processor to: detect edges in an image, including portions of the image that correspond to a jagged edge configuration; selectively apply kernel regression to portions of the image that correspond to the jagged edge configuration; and output a corrected image.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . An apparatus, comprising:
a processor; and memory to store instructions to direct the processor to:
detect edges in an image, including portions of the image that correspond to a jagged edge configuration;
selectively apply kernel regression to portions of the image that correspond to the jagged edge configuration; and
output a corrected image.
22 . The apparatus of claim 21 , wherein the memory further includes instructions to direct the processor to:
dilate the detected edges of the image to include portions of the image adjacent to the detected edges in a dilated image region; and selectively apply kernel regression to the portions of the image within the dilated image region.
23 . The apparatus of claim 21 , wherein the memory further includes instructions to direct the processor to compare the image to jagged edge configurations.
24 . The apparatus of claim 23 , wherein the memory further includes instructions to direct the processor to adjust a size of kernels utilized in the kernel regression based on the comparison of the image to jagged edge configurations.
25 . An apparatus, comprising:
a processor; and memory to store instructions to direct the processor to:
detect an edge in an image;
dilate the detected edge of the image to include portions of the image adjacent to the detected edge in a dilated image region;
selectively apply kernel regression to detecting edges in an image, including portions of the image that correspond to a jagged edge configuration;
selectively apply kernel regression to portions of the image that correspond to the jagged edge configuration; and
output a corrected image.
26 . The apparatus of claim 25 , wherein the memory further includes instructions to direct the processor to dilate the edges by more than one pixel in at least one direction around the detected edges.
27 . The apparatus of claim 25 , wherein the memory further includes instructions to direct the processor to detect the edge in the image with Canny edge detection.
28 . The apparatus of claim 25 , wherein the memory further includes instructions to direct the processor to apply kernel regression to the detected edge and not apply kernel regression to other portions of the image.
29 . An apparatus, comprising:
a processor; and memory to store instructions to direct the processor to:
detect an edge in an image and compare the image to plural jagged edge configurations;
selectively apply kernel regression to portions of the image based, at least in part, on the detection of the edge in the image corresponding to the jagged edge configurations; and
output a corrected image.
30 . The apparatus of claim 29 , wherein the memory further includes instructions to direct the processor to apply kernel regression to the portions of the image that correspond the jagged edge configurations.
31 . The apparatus of claim 29 , wherein the memory further includes instructions to direct the processor to determine a score of a degree of match to each of the plural jagged edge configurations.
32 . The apparatus of claim 31 , wherein the memory further includes instructions to direct the processor to determine a composite score for jaggedness in the image, including to select a maximum score out of the scores of the degree of match to the plural jagged edge configurations.
33 . The apparatus of claim 31 , wherein the memory further includes instructions to direct the processor to determine a composite score for jaggedness in the image by aggregating the scores of the degree of match to the plural jagged edge configurations.
34 . The apparatus of claim 29 , wherein the memory further includes instructions to direct the processor to adjust a size of kernels utilized in the kernel regression based on the comparison of the image to jagged edge configurations.Join the waitlist — get patent alerts
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