| CPC G06T 5/73 (2024.01) [G06T 5/50 (2013.01); G06T 7/0004 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01)] | 22 Claims |
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1. A method for enhancing image resolution for sequences of 2-D images of additively manufactured products, the method comprising:
for each of a plurality of additive manufacturing processes:
obtaining a respective plurality of sequenced low-resolution 2-D images of a respective product during the respective additive manufacturing process;
obtaining a respective high-resolution 3-D image of the respective product after completion of the respective additive manufacturing process, wherein the high-resolution 3-D image comprises a plurality of high-resolution 2-D images corresponding to the low resolution 2-D images;
selecting one or more tiling maps that subdivide each of the low-resolution 2-D images into a plurality of LR tiles and subdivide each of the corresponding high-resolution 2-D images into a plurality of corresponding HR tiles;
building an image enhancement generator iteratively in a generative adversarial network using training input comprising ordered pairs of corresponding LR tiles and HR tiles; and
storing the image enhancement generator for subsequent use to enhance sequences of low-resolution 2-D images captured for products during additive manufacturing,
wherein the method further comprises cropping and aligning the low-resolution 2-D images with the high-resolution 2-D images prior to subdividing into tiles.
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