CPC G06N 3/08 (2013.01) [G06N 20/10 (2019.01); G06T 5/002 (2013.01); G06T 15/50 (2013.01)] | 20 Claims |
9. A system, comprising:
one or more processors; and
a memory having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to:
receive, as input to a neural network, a reference image including noise, the reference image comprising a plurality of pixels;
identify at least one feature of the reference image;
generate, based on the at least one feature of the reference image, a base kernel; and
include the base kernel in a kernel dictionary of the neural network, wherein the kernel dictionary is usable by the neural network to denoise an input image,
wherein the neural network is trained for generating a denoising kernel for the input image based on a combination of the base kernel with a coefficient vector.
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