Laplacian Image Pyramid A Laplacian image pyramid is a multi-scale representation of a single image that highlights intensity discontinuities at multiple scales. It is obtained by convolving an image with a Gaussian mask and subtracting the smoothed image from the original one. The next level of the pyramid is obtain by repeating this process on the smoothed image after it is down-sampled. Create a 3 level Laplacian image pyramid of the woods image (after conversion from uint8 to double format), using a Gaussian with a standard deviation of 1.5, using "same" as the shape parameter for the conv2 function, and resizing by a scale factor of 0.5 using nearest-neighbour interpolation. Display the images in the pyramid as subplots in the same window.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Laplacian Image Pyramid
A Laplacian image pyramid is a multi-scale representation of a single image that highlights intensity discontinuities at multiple scales. It is obtained by convolving an image with a Gaussian
mask and subtracting the smoothed image from the original one. The next level of the pyramid is obtain by repeating this process on the smoothed image after it is down-sampled.
Create a 3 level Laplacian image pyramid of the woods image (after conversion from uint8 to double format), using a Gaussian with a standard deviation of 1.5, using "same" as the shape
parameter for the conv2 function, and resizing by a scale factor of 0.5 using nearest-neighbour interpolation. Display the images in the pyramid as subplots in the same window.
Transcribed Image Text:Laplacian Image Pyramid A Laplacian image pyramid is a multi-scale representation of a single image that highlights intensity discontinuities at multiple scales. It is obtained by convolving an image with a Gaussian mask and subtracting the smoothed image from the original one. The next level of the pyramid is obtain by repeating this process on the smoothed image after it is down-sampled. Create a 3 level Laplacian image pyramid of the woods image (after conversion from uint8 to double format), using a Gaussian with a standard deviation of 1.5, using "same" as the shape parameter for the conv2 function, and resizing by a scale factor of 0.5 using nearest-neighbour interpolation. Display the images in the pyramid as subplots in the same window.
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