Sciweavers

CMA
2010
95views more  CMA 2010»
13 years 1 months ago
The Laplace transform on isolated time scales
Starting with a general definition of the Laplace transform on arbitrary time scales, we specify the Laplace transform on isolated time scales, prove several properties of the Lapl...
Martin Bohner, Gusein Sh. Guseinov
ICIP
2010
IEEE
13 years 2 months ago
Constructing a sparse convolution matrix for shift varying image restoration problems
Convolution operator is a linear operator characterized by a point spread functions (PSF). In classical image restoration problems, the blur is usually shift invariant and so the ...
Stanley H. Chan
JCSS
2010
105views more  JCSS 2010»
13 years 2 months ago
Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty
Convolution y(t) = a(t − s) · x(s) ds is one of the main techniques in digital signal processing. A straightforward computation of the convolution y(t) requires O(n2) steps, wh...
Guoqing Liu, Vladik Kreinovich
SIGGRAPH
1991
ACM
13 years 8 months ago
Convolution surfaces
Smoothly blended articulated models are often difficult to construct using current techniques. Our solution in this paper is to extend the surfaces introduced by Blinn [Blinn 1982...
Jules Bloomenthal, Ken Shoemake
ESA
2006
Springer
102views Algorithms» more  ESA 2006»
13 years 8 months ago
Necklaces, Convolutions, and X + Y
We give subquadratic algorithms that, given two necklaces each with n beads at arbitrary positions, compute the optimal rotation of the necklaces to best align the beads. Here ali...
David Bremner, Timothy M. Chan, Erik D. Demaine, J...
SCALESPACE
2001
Springer
13 years 9 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij
IV
2006
IEEE
210views Visualization» more  IV 2006»
13 years 10 months ago
FFT and Convolution Performance in Image Filtering on GPU
Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphic...
Ondirej Fialka, Martin Cadík