Applications of Pyramids
Alternate Representation
In the early days of computer vision, pyramids were used as the main type of multi-scale representation for computing multi-scale image features from real-world image data. More recent techniques include scale-space representation, which has been popular among some researchers due to its theoretical foundation, the ability to decouple the subsampling stage from the multi-scale representation, the more powerful tools for theoretical analysis as well as the ability to compute a representation at any desired scale, thus avoiding the algorithmic problems of relating image representations at different resolution. Nevertheless, pyramids are still frequently used for expressing computationally efficient approximations to scale-space representation.
Detail Manipulation
Laplacian image pyramids based off the bilateral filter provide a good framework for image detail enhancement and manipulation. The difference images between each layer are modified to exaggerate or reduce details at different scales in an image.
Read more about this topic: Pyramid (image Processing)
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