[IPOL announce] new article: A Survey of Gaussian Convolution Algorithms

[announcements about the IPOL journal]

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.