Content deleted Content added
The explanation of Laplacian pyramid makes more sense in the laplacian pyramid section. Leaving the previous correction, though, which is that the laplacian pyramid is not based on the bilateral filter Tag: references removed |
→Laplacian pyramid: change header size |
||
Line 42:
In a Gaussian pyramid, subsequent images are weighted down using a Gaussian average ([[Gaussian blur]]) and scaled down. Each pixel containing a local average corresponds to a neighborhood pixel on a lower level of the pyramid. This technique is used especially in [[texture synthesis]].
A Laplacian pyramid is very similar to a Gaussian pyramid but saves the difference image of the blurred versions between each levels. Only the smallest level is not a difference image to enable reconstruction of the high resolution image using the difference images on higher levels. This technique can be used in [[image compression]].<ref>{{cite journal | last1 = Burt | first1 = Peter J. | last2 = Adelson | first2 = Edward H. | year = 1983 | title = The Laplacian Pyramid as a Compact Image Code | url = http://persci.mit.edu/pub_pdfs/pyramid83.pdf | journal = IEEE Transactions on Communications | volume = 31| issue = 4| pages = 532–540| doi = 10.1109/TCOM.1983.1095851 | citeseerx = 10.1.1.54.299 }}</ref>
| |||