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» Noise reduction in high dynamic range imaging
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MICCAI
2008
Springer
14 years 12 months ago
Exploring the Use of Proper Orthogonal Decomposition for Enhancing Blood Flow Images Via Computational Fluid Dynamics
Abstract. Obtaining high quality patient-specific flow velocity information is not an easy task. Available clinical data are usually poorly resolved and contain a significant amoun...
Dominik Szczerba, Gábor Székely, Kri...
ISSS
2002
IEEE
127views Hardware» more  ISSS 2002»
14 years 3 months ago
Dynamic Common Sub-Expression Elimination during Scheduling in High-Level Synthesis
We introduce a new approach, “Dynamic Common Sub-expression Elimination (CSE)”, that dynamically eliminates common sub- expressions based on new opportunities created during s...
Alexandru Nicolau, Nikil D. Dutt, Rajesh Gupta, Ni...
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Directional Weighting-Based Demosaicking Algorithm for Noisy CFA Environments
Captured CFA data by image sensors like CCD/or CMOS are often corrupted by noises. To produce high quality images acquired by CCD/CMOS digital cameras, the problem of noise needs ...
Hung-Yi Lo, Tsung-Nan Lin, Chih-Lung Hsu, Cheng-hs...
IPMI
2007
Springer
14 years 11 months ago
Bayesian Tracking of Elongated Structures in 3D Images
Tracking of tubular elongated structures is an important goal in a wide range of biomedical imaging applications. A Bayesian tube tracking algorithm is presented that allows to eas...
Michiel Schaap, Ihor Smal, Coert Metz, Theo van Wa...
PAMI
2008
195views more  PAMI 2008»
13 years 10 months ago
Robust Radiometric Calibration and Vignetting Correction
In many computer vision systems, it is assumed that the image brightness of a point directly reflects the scene radiance of the point. However, the assumption does not hold in mos...
Seon Joo Kim, Marc Pollefeys