Here we see the bilateral filter, a technique used in image processing to smooth images while preserving edges. A bilateral filter applies weights to pixels based on their intensity difference from a target pixel, distinguishing between features and noise. The graphics show how intensity differences across an edge result in lower weights, ensuring that only similar intensity pixels influence the filtered output. If pixel 'p' were on the lower side of the edge, the filter would similarly prevent pixels from the higher side from affecting the smoothing process, thereby protecting the edge integrity regardless of which side 'p' is on.
xiaochy
I think if pixel p were on the lower side of the edge, the bilateral filter will be higher on the left and lower on the right.
sebzhao
This is a super cool visualization and it makes sense how this preserves the edge information while removing noise from the rest of the image.
brianqch
I believe that if pixel p were on the lower side of the edge then according to this slide "pixels with significantly different intensity relative to p contribute little to the filtered result. As a result, we still are able to maintain this edge.
Here we see the bilateral filter, a technique used in image processing to smooth images while preserving edges. A bilateral filter applies weights to pixels based on their intensity difference from a target pixel, distinguishing between features and noise. The graphics show how intensity differences across an edge result in lower weights, ensuring that only similar intensity pixels influence the filtered output. If pixel 'p' were on the lower side of the edge, the filter would similarly prevent pixels from the higher side from affecting the smoothing process, thereby protecting the edge integrity regardless of which side 'p' is on.
I think if pixel p were on the lower side of the edge, the bilateral filter will be higher on the left and lower on the right.
This is a super cool visualization and it makes sense how this preserves the edge information while removing noise from the rest of the image.
I believe that if pixel p were on the lower side of the edge then according to this slide "pixels with significantly different intensity relative to p contribute little to the filtered result. As a result, we still are able to maintain this edge.