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TSMC
2002
110views more  TSMC 2002»
13 years 8 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
WCRE
2003
IEEE
14 years 2 months ago
Extracting an Explicitly Data-Parallel Representation of Image-Processing Programs
Our research goal is to retarget image processing programs written in sequential languages (e.g., C) to architectures with data-parallel processing capabilities. Image processing ...
Lewis B. Baumstark Jr., Murat Guler, Linda M. Will...
BMCBI
2010
218views more  BMCBI 2010»
13 years 6 months ago
A hybrid blob-slice model for accurate and efficient detection of fluorescence labeled nuclei in 3D
Background: To exploit the flood of data from advances in high throughput imaging of optically sectioned nuclei, image analysis methods need to correctly detect thousands of nucle...
Anthony Santella, Zhuo Du, Sonja Nowotschin, Anna-...
DCC
2010
IEEE
14 years 1 months ago
Tanner Graph Based Image Interpolation
This paper interprets image interpolation as a channel decoding problem and proposes a tanner graph based interpolation framework, which regards each pixel in an image as a variab...
Ruiqin Xiong, Wen Gao
DCC
2004
IEEE
14 years 8 months ago
Distortion-Optimal Transmission of Progressive Images over Channels with Random Bit Errors and Packet Erasures
We present a statistical optimization framework for solving the end-to-end problem of progressive transmission of images over noisy channels. We consider the impacts of transmissi...
Homayoun Yousefi'zadeh, Hamid Jafarkhani, Farzad E...