Panning across and zooming into a large image requires the import and resizing of large amounts of data. ImagePyramid resolves this issue by readily providing an appropriate scale of an image.

Generate the lowpass image pyramid of a 34-megapixel image:

Resizing the image to an appropriate viewing size takes almost a second:

Obtaining the resized image from the image pyramid is about 100 times faster:

Image pyramids ensure smooth zooming for large images:

Alter pyramid levels and type to detect mountain ridges at all scales:

Reconstruct assuming a Laplacian pyramid to add up features extracted from all levels:

Perform a multiscale saliency filtering:

Apply ImageSaliencyFilter to an image:

Apply a saliency filter to all levels of the image pyramid to get a multiscale result:

Use Laplacian reconstruction to add up filter responses at all levels:

Extract the surfaces in a 3D volume:

Generate a Gaussian pyramid with scaling factor :

Apply the ridge filter to all three scales:

Accumulate the band-limited results of the ridge filter by treating the pyramid as a Laplacian pyramid when reconstructing the volume:

Merge the portraits of Werner Heisenberg and Erwin Schrödinger:

Split and merge the two images without multiscale blending:

To obtain a more agreeable result, split and merge the images at all scales using image pyramids: