DC pole | Wartość | Język |
dc.contributor.author | Lisowska, Agnieszka | - |
dc.date.accessioned | 2019-06-12T11:28:05Z | - |
dc.date.available | 2019-06-12T11:28:05Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Journal of Mathematical Imaging and Vision, Vol. 39 (2011), s. 180-192 | pl_PL |
dc.identifier.issn | 0924-9907 | - |
dc.identifier.issn | 1573-7683 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12128/9460 | - |
dc.description.abstract | In the paper the moments-based fast wedgelet
transform has been presented. In order to perform the classical
wedgelet transform one searches the whole wedgelets’
dictionary to find the best matching. Whereas in the proposed
method the parameters of wedgelet are computed directly
from an image basing on moments computation. Such
parameters describe wedgelet reflecting the edge present in
the image. However, such wedgelet is not necessarily the
best one in the meaning of Mean Square Error. So, to overcome
that drawback, the method which improves the matching
result has also been proposed. It works in the way that
the better matching one needs to obtain the longer time it
takes. The proposed transform works in linear time with respect
to the number of pixels of the full quadtree decomposition
of an image. More precisely, for an image of size
N ×N pixels the time complexity of the proposed wedgelet
transform is O(N2 log2 N). | pl_PL |
dc.language.iso | en | pl_PL |
dc.rights | Uznanie autorstwa-Użycie niekomercyjne 3.0 Polska | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/pl/ | * |
dc.subject | Wedgelets | pl_PL |
dc.subject | Moments | pl_PL |
dc.subject | Fast wedgele transform | pl_PL |
dc.subject | Multiresolution | pl_PL |
dc.title | Moments-Based Fast Wedgelet Transform | pl_PL |
dc.type | info:eu-repo/semantics/article | pl_PL |
dc.identifier.doi | 10.1007/s10851-010-0233-3 | - |
Pojawia się w kolekcji: | Artykuły (WNŚiT)
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