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» Personalization of Image Enhancement
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SIGGRAPH
1993
ACM
15 years 10 months ago
Imaging vector fields using line integral convolution
Imaging vector fields has applications in science, art, image processing and special effects. An effective new approach is to use linear and curvilinear filtering techniques to ...
Brian Cabral, Leith Casey Leedom
DAGM
2006
Springer
15 years 9 months ago
Ultrasound Image Denoising by Spatially Varying Frequency Compounding
Ultrasound images are very noisy. Along with system noise, a significant noise source is the speckle phenomenon, caused by interference in the viewed object. Most past approaches f...
Yael Erez, Yoav Y. Schechner, Dan Adam
DICTA
2009
15 years 6 months ago
Improved Single Image Dehazing Using Geometry
Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images...
Peter Carr, Richard Hartley
CGF
2007
102views more  CGF 2007»
15 years 5 months ago
Image Dequantization: Restoration of Quantized Colors
Color quantization replaces the color of each pixel with the closest representative color, and thus it makes the resulting image partitioned into uniformly-colored regions. As a c...
Tae-hoon Kim, Jongwoo Ahn, Min Gyu Choi
MICCAI
2007
Springer
16 years 6 months ago
Non-Local Means Variants for Denoising of Diffusion-Weighted and Diffusion Tensor MRI
Abstract. Diffusion tensor imaging (DT-MRI) is very sensitive to corrupting noise due to the non linear relationship between the diffusionweighted image intensities (DW-MRI) and th...
Christian Barillot, Nicolas Wiest-Daesslé, ...