Method, system, and computer-readable medium for improving quality of low-light images

Abstract

In an embodiment, a method includes 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. Generating the resulting digital image includes performing a pooling operation after every few convolutional layers at the downsampling stage to decrease spatial resolution; performing an upscaling operation before every few convolutional layers at the upsampling stage to increase the spatial resolution; and performing a channel-wise dropout operation following each of the convolutional layers at the downsampling stage and the upsampling stage.