| CPC G06T 5/50 (2013.01) [G06T 5/70 (2024.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01)] | 20 Claims |

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1. A method comprising:
acquiring a current frame, a noise dispersion map for the current frame, and a first denoised frame for a previous frame;
generating a weighted first denoised frame based on the noise dispersion map, the current frame, and the first denoised frame using a first neural network;
generating an initial fused image based on the current frame and the weighted first denoised frame using a second neural network; and
generating a second denoised frame for the current frame based on the initial fused image using a third neural network.
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