US 11,930,153 B2
Feature extractions to optimize scanned images
Peter Bauer, Boise, ID (US); Todd J. Harris, Boise, ID (US); Mark Shaw, Boise, ID (US); Jan Allebach, West Lafayette, IN (US); Yafei Mao, West Lafayette, IN (US); Yufang Sun, West Lafayette, IN (US); and Lixia Li, Vancouver, WA (US)
Assigned to Hewlett-Packard Development Company, L.P., Spring, TX (US)
Appl. No. 18/271,094
Filed by Hewlett-Packard Development Company, L.P., Spring, TX (US); and PURDUE RESEARCH FOUNDATION, West Lafayette, IN (US)
PCT Filed Jan. 8, 2021, PCT No. PCT/US2021/012651
§ 371(c)(1), (2) Date Jul. 6, 2023,
PCT Pub. No. WO2022/150042, PCT Pub. Date Jul. 14, 2022.
Prior Publication US 2024/0056547 A1, Feb. 15, 2024
Int. Cl. H04N 1/62 (2006.01); G06V 30/413 (2022.01)
CPC H04N 1/626 (2013.01) [G06V 30/413 (2022.01)] 15 Claims
OG exemplary drawing
 
1. An imaging device, comprising:
a processing resource; and
a memory resource storing non-transitory machine-readable instructions to cause the processing resource to:
perform a feature extraction process to extract a gamut-based feature included in a plurality of pixels of a scanned image to determine whether the scanned image includes a particular marking;
apply a classification model to the scanned image; and
optimize the scanned image based on the classification of the scanned image.