Systems and Methods of Spatiotemporal Image Noise Reduction for Multispectral Image Data

A non-transitory computer readable medium comprising computer readable instructions configured to cause one or more processors to:

• maintain an accumulated image in a memory;
• obtain a first plurality of N-channel multispectral images;
• and
• for each image in the first plurality of N-channel multispectral images, perform the following operations:
• calculate a multispectral guide image for a current image of the first plurality of N-channel multispectral images;
• calculate blending weights for the current image based, at least in part, on the multispectral guide image for the current image;
• apply the calculated blending weights to the current image to generate a denoised current image;
• update the accumulated image based, at least in part, on pixel differences between the denoised current image and the accumulated image;
• and
• generate a noise-reduced output image based on the updated accumulated image.

An image processing method, comprising:

• maintaining an accumulated image in a memory;
• obtaining a first plurality of N-channel multispectral images;
• and
• for each image in the first plurality of N-channel multispectral images, perform the following operations:
• calculating a multispectral guide image for a current image of the first plurality of N-channel multispectral images;
• calculating blending weights for the current image based, at least in part, on the multispectral guide image for the current image;
• applying the calculated blending weights to the current image to generate a denoised current image;
• updating the accumulated image based, at least in part, on pixel differences between the denoised current image and the accumulated image;
• and
• generating a noise-reduced output image based on the updated accumulated image.