137 search results - page 8 / 28 » The Gray-Code Filter Kernels |
CGA
2005
13 years 7 months ago
2005
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Anisotropic Gaussian filters are useful for adaptive smoothing and feature extraction. In our application, micro - tomographic images of fibers were smoothed by anisotropic Gaussi...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
The in-loop deblocking filter contains highly adaptive processing on both sample level and block edge level, which inevitably appears in the loop kernel of the algorithm. Therefor...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...