US 12,229,926 B2
Method and system for deblurring a blurred image
Tzvi Philipp, Bet Shemesh (IL); Dan Levi, Ganei Tikvah (IL); and Shai Silberstein, Ziona (IL)
Assigned to GM Global Technology Operations LLC, Detroit, MI (US)
Filed by GM GLOBAL TECHNOLOGY OPERATIONS LLC, Detroit, MI (US)
Filed on Jul. 13, 2022, as Appl. No. 17/863,501.
Prior Publication US 2024/0020797 A1, Jan. 18, 2024
Int. Cl. G06T 5/73 (2024.01)
CPC G06T 5/73 (2024.01) [G06T 2207/20081 (2013.01); G06T 2207/20201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for deblurring a blurred image captured by an optical system, comprising:
dividing the blurred image into a plurality of overlapping regions each having a size and an offset from neighboring overlapping regions along a first direction, wherein the size and offset are determined by a period of a ringing artifact in the blurred image if the blurred image has been filtered, or by obtained blur characteristics relating to the blurred image and/or attributable to the optical system, or by a detected cause capable of producing the blur characteristics;
stacking the plurality of overlapping regions to produce a stacked output, wherein the overlapping regions are sequentially organized along the first direction;
convolving the stacked output through a first convolutional neural network (CNN) to produce a first CNN output having reduced blur as compared to the stacked output; and
assembling the first CNN output into a re-assembled image.