@inproceedings{cf494a25c99b49e0802b41e009281c89,
title = "Cosine integral images for fast spatial and range filtering",
abstract = "Non uniform kernels is important for many image processing algorithms. However, for large kernel sizes the filtering can become computationally expensive. We introduce cosine integral images (CII) which represent a large set of spatial and range filters, based on their frequency decomposition. The filtering requires a constant number of operations per image pixel, independent of filter size. We make use of CII to compute the Gabor filters, whose complexity is for the first time a constant O(1) operations per image pixel. We also improve previous constant time approximations of spatial Gaussian smoothing and bilateral filtering.",
keywords = "Gabor filter, Gaussian filter, Non uniform filtering, bilateral filter, cosine transform, integral images",
author = "Elhanan Elboher and Michael Werman",
year = "2011",
doi = "https://doi.org/10.1109/ICIP.2011.6116704",
language = "الإنجليزيّة",
isbn = "9781457713033",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "89--92",
booktitle = "ICIP 2011",
note = "2011 18th IEEE International Conference on Image Processing, ICIP 2011 ; Conference date: 11-09-2011 Through 14-09-2011",
}