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» Using collaborative learning for image contrast enhancement
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IPMI
2005
Springer
14 years 1 months ago
Imaging Tumor Microenvironment with Ultrasound
Abstract. Recent advances in molecular biology are providing new opportunities for breast cancer imaging. Our approach uses ultrasound to image viscoelastic features of tumors. The...
Mallika Sridhar, Michael F. Insana
TOG
2002
129views more  TOG 2002»
13 years 7 months ago
Fast bilateral filtering for the display of high-dynamic-range images
We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image ...
Frédo Durand, Julie Dorsey
ICIP
2008
IEEE
14 years 9 months ago
Prediction of preferred ClearType filters using the S-CIELAB metric
The appearance of rendered text is a compromise between the designer's intent and the display capabilities. The ClearType rendering method is designed to enhance rendered tex...
Jiajing Xu, Joyce E. Farrell, Tanya Matskewich, Br...
MVA
2002
254views Computer Vision» more  MVA 2002»
13 years 7 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)