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==Applications of pyramids==
===Alternative
In the early days of computer vision, pyramids were used as the main type of multi-scale representation for computing multi-scale image [[feature detection (computer vision)|features]] from real-world image data. More recent techniques include [[scale space|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|scale-space representation]].<ref name=LinBre03-ScSp>Lindeberg, T. and Bretzner, L. [http://www.nada.kth.se/cvap/abstracts/cvap279.html Real-time scale selection in hybrid multi-scale representations], Proc. Scale-Space'03, Isle of Skye, Scotland, Springer Lecture Notes in Computer Science, volume 2695, pages 148-163, 2003.</ref><ref>Crowley, J, Riff O. [http://www-prima.inrialpes.fr/Prima/Homepages/jlc/papers/Crowley-ScaleSpace03.pdf Fast computation of scale normalised Gaussian receptive fields], Proc. Scale-Space'03, Isle of Skye, Scotland, Springer [[Lecture Notes in Computer Science]], volume 2695, 2003.</ref><ref>{{cite journal | last1 = Lowe | first1 = D. G. | year = 2004 | title = Distinctive image features from scale-invariant keypoints | url = http://citeseer.ist.psu.edu/lowe04distinctive.html| journal = International Journal of Computer Vision | volume = 60 | issue = 2| pages = 91–110 | doi=10.1023/B:VISI.0000029664.99615.94}}</ref>
===Detail
Laplacian image pyramids based on the [[bilateral filter]] provide a good framework for image detail enhancement and manipulation.<ref>[http://mcclanahoochie.com/blog/portfolio/opencl-image-pyramid-detail-enhancement/ Photo Detail Manipulation via Image Pyramids]</ref> The difference images between each layer are modified to exaggerate or reduce details at different scales in an image.
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