Image processing to reduce random noise
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Similar to denoising on 1D data, random noise removal on images can be achieve by computing the running average in 2D. Write a 2D smoothing filter function with loops to compute the running average. The width and height of the 2D smoothing window should be designed as adjustable parameters.
Dear all, I am not quite sure how to start with this as I only know how to denoise 1D data.
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KSSV
on 24 Sep 2018
In the same way you can extend your 1D to 2D.
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on 24 Sep 2018
on 24 Sep 2018
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