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@inproceedings{946653,
author = {Svoboda, David},
address = {Berlin, Heidelberg},
booktitle = {Image Analysis and Processing - ICIAP 2011},
edition = {LNCS 6978, Part I},
editor = {Giuseppe Maino; Gian Luca Foresti},
keywords = {Convolution; Fast Fourier Transform; Divide-et-Impera},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin, Heidelberg},
isbn = {978-3-642-24084-3},
pages = {453-462},
publisher = {Springer-Verlag},
title = {Efficient Computation of Convolution of Huge Images},
year = {2011}
}
TY - JOUR
ID - 946653
AU - Svoboda, David
PY - 2011
TI - Efficient Computation of Convolution of Huge Images
PB - Springer-Verlag
CY - Berlin, Heidelberg
SN - 9783642240843
KW - Convolution
KW - Fast Fourier Transform
KW - Divide-et-Impera
N2 - In image processing, convolution is a frequently used operation. It is an important tool for performing basic image enhancement as well as sophisticated analysis. Naturally, due to its necessity and still continually increasing size of processed image data there is a great demand for its efficient implementation. The fact is that the slowest algorithms (that cannot be practically used) implementing the convolution are capable of handling the data of arbitrary dimension and size. On the other hand, the fastest algorithms have huge memory requirements and hence impose image size limits. Regarding the convolution of huge images, which might be the subtask of some more sophisticated algorithm, fast and correct solution is essential. In this paper, we propose a fast algorithm implementing exact computation of the shift invariant convolution over huge multi-dimensional image data.
ER -
SVOBODA, David. Efficient Computation of Convolution of Huge Images. In Giuseppe Maino; Gian Luca Foresti. \textit{Image Analysis and Processing - ICIAP 2011}. LNCS 6978, Part I. Berlin, Heidelberg: Springer-Verlag, 2011, p.~453-462. ISBN~978-3-642-24084-3.
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