US 11,688,049 B2
Systems and methods for image processing
Souradip Chakraborty, Kolkata (IN); Abhishek Mishra, Bengaluru (IN); and Somedip Karmakar, Karnataka (IN)
Assigned to Walmart Apollo, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Dec. 17, 2021, as Appl. No. 17/554,770.
Claims priority of provisional application 63/177,336, filed on Apr. 20, 2021.
Prior Publication US 2022/0335591 A1, Oct. 20, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 11/00 (2006.01)
CPC G06T 7/0002 (2013.01) [G06T 11/00 (2013.01); G06T 2200/24 (2013.01); G06T 2207/30168 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a computing device configured to:
receive an image;
determine, using a machine learning model including a plurality of layers, a plurality of quality parameters of the image, wherein each layer of the machine learning model is trained to detect a different quality parameter of the plurality of quality parameters;
compare each parameter of the plurality of quality parameters with a corresponding predetermined threshold of a plurality of predetermined thresholds;
determine that at least one of the plurality of quality parameters is below the corresponding predetermined threshold; and
based on the determination that the at least one of the plurality of quality parameters is below the corresponding predetermined threshold, adjust, using the machine learning model, a feature of the image such that the at least one of the plurality of quality parameters is at or above the corresponding predetermined threshold.