Here's a paper published by several European researchers describing a nonlocal algorithm for image denoising linked here (https://bit.ly/2Il4uQr). The paper first compares non local denoising to existing strategies like local smoothing filters, then applies denoising to a couple examples to demonstrate the differences between the non local means algorithm and local smoothing more visually.
rpottle
Couldn't assuming that repeating structures exist in an image cause a high probability of averaging windows that look similar on a micro scale but are actually from unrelated objects in the overall image?
GitMerlin
I understand that we are taking a weighted average of pixels which have a similar neighborhood as p, but why do we choose the dotted red box as the search region?
anup-h
I'm pretty sure the search region around p is arbitrary; I don't think the dotted red line in the figure is determined in some way from p's position
Here's a paper published by several European researchers describing a nonlocal algorithm for image denoising linked here (https://bit.ly/2Il4uQr). The paper first compares non local denoising to existing strategies like local smoothing filters, then applies denoising to a couple examples to demonstrate the differences between the non local means algorithm and local smoothing more visually.
Couldn't assuming that repeating structures exist in an image cause a high probability of averaging windows that look similar on a micro scale but are actually from unrelated objects in the overall image?
I understand that we are taking a weighted average of pixels which have a similar neighborhood as p, but why do we choose the dotted red box as the search region?
I'm pretty sure the search region around p is arbitrary; I don't think the dotted red line in the figure is determined in some way from p's position