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

A system, comprising:

• at least one memory configured to store program instructions;
• at least one processor configured to execute the program instructions, which cause the at least one processor to perform steps comprising:
• receiving a digital image;
• generating 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 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.

A non-transitory computer-readable medium with program instructions stored thereon, that when executed by at least one processor, cause the at least one processor to perform steps comprising:

• receiving a digital image;
• generating 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 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.