Noisy image, specified as a single 2-D image or a stack of 2-D images.
A can be:
A 2-D grayscale image with size
m-by-n.
A 2-D multichannel image with size
m-by-n-by-c,
where c is the number of image channels. For
example, c is 3 for RGB images, and 4 for
four-channel images such as RGB images with an infrared
channel.
A stack of equally-sized 2-D images. In this case,
A has size
m-by-n-by-c-by-p,
where p is the number of images in the
stack.
Data Types: single | double | uint8 | uint16
net — Denoising deep neural network SeriesNetwork object
Denoising deep neural network, specified as a SeriesNetwork (Deep Learning Toolbox) object. The network should be trained to handle
images with the same channel format as A.
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