Convolution on a pixel by pixel basis of digital image data with an appropriate matrix

is a common technique for extraction of $$features$$ from an image and other forms of

manipulation.

$($a$)(5$ points$)$ The Laplacian matrix is frequently used to detect edges and$/$or outlier

pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix

is a common technique for extraction of $$features$$ from an image and other forms of

manipulation.

$($a$)(5$ points$)$ The Laplacian matrix is frequently used to detect edges and$/$or outlier

pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix

is a common technique for extraction of $$features$$ from an image and other forms of

manipulation.

$($a$)(5$ points$)$ The Laplacian matrix is frequently used to detect edges and$/$or outlier

pixels in images. What does this look like? Explain how it works.Convolution on a pixel by pixel basis of digital image data with an appropriate matrix

is a common technique for extraction of $$features$$ from an image and other forms of

manipulation.

$($a$)(5$ points$)$ The Laplacian matrix is frequently used to detect edges and$/$or outlier

pixels in images. What does this look like? Explain how it works.