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» Testing of Image Processing Algorithms on Synthetic Data
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ICPPW
2003
IEEE
15 years 8 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
TSMC
2002
110views more  TSMC 2002»
15 years 2 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
ICIP
1997
IEEE
16 years 4 months ago
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
S. U. Pillai, B. Liang
BIBE
2000
IEEE
15 years 7 months ago
Reconstructing Specimens using DIC Microscope Images
—Differential interference contrast (DIC) microscopy is a powerful visualization tool used to study live biological cells. Its use, however, has been limited to qualitative obser...
Farhana Kagalwala, Takeo Kanade
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 1 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas