US 11,887,280 B2
Method, system, and computer-readable medium for improving quality of low-light images
Zibo Meng, Palo Alto, CA (US)
Assigned to GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD., Guangdong (CN)
Filed by GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD., Guangdong (CN)
Filed on May 3, 2021, as Appl. No. 17/306,676.
Application 17/306,676 is a continuation of application No. PCT/CN2019/105460, filed on Sep. 11, 2019.
Claims priority of provisional application 62/757,278, filed on Nov. 8, 2018.
Prior Publication US 2021/0256657 A1, Aug. 19, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 5/00 (2006.01); G06T 3/40 (2006.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06V 10/60 (2022.01); G06V 10/98 (2022.01)
CPC G06T 5/002 (2013.01) [G06T 3/4007 (2013.01); G06T 3/4046 (2013.01); G06V 10/454 (2022.01); G06V 10/60 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G06T 2207/20084 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving a digital image;
generating, by at least one processor, a resulting digital image by processing the digital image with an encoder-decoder neural network comprising a plurality of convolutional layers classified into a downsampling stage and an upsampling stage, and a multi-scale context aggregating block configured to aggregate multi-scale context information of the digital image and employed between the downsampling stage and the upsampling stage; and
outputting, by the at least one processor, the resulting digital image to an output device,
wherein the generating the resulting digital image comprises:
concatenating the convolutional layers of the downsampling stage and the convolutional layers of the upsampling stage having a same resolution with the convolutional layers of the downsampling stage;
extracting, by a global pooling layer of the multi-scale context aggregating block, global context information of the digital image; and
extracting, by a plurality of dilation layers with various dilation rates of the multi-scale context aggregation block, context information of the digital image at different scales.