Lowpass pyramid of a 2D image:

View all image levels:

Dimensions are halved at each level:

Lowpass pyramid of a 3D image:

View all image levels:

Lowpass pyramid of a partially transparent image:

The default lowpass kernel applied in each level before downsampling is the Gaussian kernel:

Use a binomial kernel instead:

Use a box kernel:

Use a Gaussian kernel with standard deviation σ equal to half the downsampling factor a:

Specify the number of levels to be returned:

Specify an image size that is smaller than or equal to the smallest image in the pyramid:

This pyramid has two levels. The next pyramid level of size 50×38 would have been smaller than 50×50:

The default downsampling factor between successive levels is 2:

Specify a downsampling factor of 5:

The default padding is "Reversed":

Use "Fixed" padding instead:

Use red padding:

Convert a large image into a pyramid for faster viewing:

View the image with width 320:

Compare the timings for image retrieval:

Apply a gradient filter at several scales simultaneously:

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

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:

Compute a bandpass pyramid:

Extract, negate and reinsert the three bottom levels of the image pyramid:

Reconstruct the image pyramid to exhibit the visual effect:

Merge two images at just one scale:

Merge the two images at all scales: