A new article is available in IPOL: http://www.ipol.im/pub/art/2013/87/
A Survey of Gaussian Convolution Algorithms
by Pascal Getreuer
Image Processing On Line, vol. 2013, pp. 276–300.
http://www.ipol.im/pub/art/2013/87/
Abstract
Gaussian convolution is a common operation and building block for
algorithms in signal and image processing. Consequently, its efficient
computation is important, and many fast approximations have been
proposed. In this survey, we discuss approximate Gaussian convolution
based on finite impulse response filters, DFT and DCT based convolution,
box filters, and several recursive filters. Since boundary handling is
sometimes overlooked in the original works, we pay particular attention
to develop it here. We perform numerical experiments to compare the
speed and quality of the algorithms.
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IPOL - Image Processing On Line - http://ipol.im/
contact [email protected] - http://www.ipol.im/meta/contact/
news+feeds twitter @IPOL_journal - http://www.ipol.im/meta/feeds/
announces [email protected] - http://tools.ipol.im/mm/announce/
discussions [email protected] - http://tools.ipol.im/mm/discuss/
