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» Noise reduction in high dynamic range imaging
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MICCAI
2008
Springer
16 years 7 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»
15 years 11 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...
153
Voted
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
16 years 4 days 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...
138
Voted
IPMI
2007
Springer
16 years 7 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»
15 years 6 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