Systems and methods for real-time video denoising

A system for improving live video quality comprising:

• (i) a communication interface communicatively coupled to a medical imaging apparatus, (ii) a memory for storing a set of software instructions, and (iii) one or more processors configured to execute the set of software instructions to:
• (a) receive, from the medical imaging apparatus, a stream of consecutive image frames of a subject;
• and
• (b) process the stream of consecutive image frames using a two-stage deep learning framework by:
• i) feed the stream of consecutive image frames to a first set of denoising components in a first stage of the two-stage deep learning framework, wherein at least one of the first set of denoising components comprises a first deep learning network trained to denoise an image frame in a spatial domain by taking as input an image frame from the stream of consecutive image frames and predicting an intermediate image frame;
• ii) feed a plurality of the intermediate image frames to a second denoising component in a second stage of the two-stage deep learning framework, wherein the second denoising component comprises a second deep learning network trained to predict a final image frame with improved quality in both temporal domain and spatial domain based at least in part on a predicted motion map which motion map indicating a presence of motion in the plurality of the intermediate image frames.