Howtosignalprocessing
- What is Laplacian pyramid in image processing?
- Can we recover the original image by upsampling?
- How does image pyramid work?
- What is pyramid blending?
What is Laplacian pyramid in image processing?
A Laplacian Pyramid is a linear invertible image representation consisting of a set of band-pass images, spaced an octave apart, plus a low-frequency residual. Formally, let. be a downsampling operation which blurs and decimates a j × j image , so that is a new image of size j / 2 × j / 2 .
Can we recover the original image by upsampling?
This depends on the order of upsampling and downsampling. If the order is correct, then you won't throw away anything and thus you should in principle be able to reconstruct the image.
How does image pyramid work?
Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and subsampling.
What is pyramid blending?
Pyramid image blending works by blending the Laplacian pyramids of two input photos: Page 2 using the Gaussian pyramid of a "mask" image as the alpha matte: The result of this blend is a new Laplacian pyramid from which we can reconstruct a full-resolution, blended version of the input photos.
