Is denoising using non-local means used in practice? Or is it more of a theoretical concept? And if so, would denoising only work on specific kind of images (ones with repeating structure)? What would happen if we tried to denoise images that did not follow the assumption?
rubywerman
I wonder how this approach would respond to patterns like bricks/wood.
UncooleBen
The equation reminds me of t-SNE.
melodysifry
here, are we averaging all of the pixels in all of p's similar neighborhoods to inform the value of p? or is it that we are looking for all of p's similar neighborhoods, and then averaging the values of just the corresponding pixels from each neighborhood to inform the value of the corresponding value in p's neighborhood?
Is denoising using non-local means used in practice? Or is it more of a theoretical concept? And if so, would denoising only work on specific kind of images (ones with repeating structure)? What would happen if we tried to denoise images that did not follow the assumption?
I wonder how this approach would respond to patterns like bricks/wood.
The equation reminds me of t-SNE.
here, are we averaging all of the pixels in all of p's similar neighborhoods to inform the value of p? or is it that we are looking for all of p's similar neighborhoods, and then averaging the values of just the corresponding pixels from each neighborhood to inform the value of the corresponding value in p's neighborhood?