MO2.R3: Image De-noising and Enhancement

Session Type: Lecture
Time: Monday, June 29, 13:30 - 14:50
Location: Berkeley/Clarendon
 
MO2.R3.1: FAST HAAR-WAVELET DENOISING OF MULTIDIMENSIONAL FLUORESCENCE MICROSCOPY DATA
         Florian Luisier; Ecole Polytechnique Fédérale de Lausanne
         Cédric Vonesch; Ecole Polytechnique Fédérale de Lausanne
         Thierry Blu; Chinese University of Hong Kong
         Michael Unser; Ecole Polytechnique Fédérale de Lausanne
 
MO2.R3.2: DENOISING FLUORESCENCE ENDOSCOPY – A MOTION COMPENSATED TEMPORAL RECURSIVE VIDEO FILTER WITH AN OPTIMAL MINIMUM MEAN SQUARE ERROR PARAMETERIZATION
         Thomas Stehle; RWTH Aachen University
         Jonas Wulff; RWTH Aachen University
         Alexander Behrens; RWTH Aachen University
         Sebastian Gross; RWTH Aachen University
         Til Aach; RWTH Aachen University
 
MO2.R3.3: ULTRASOUND IMAGE DE-NOISING THROUGH KARHUNEN-LOEVE (K-L) TRANSFORM WITH OVERLAPPING SEGMENTS
         Jawad Al-Asad; University of Wisconsin-Milwaukee
         Alireza Moghadamjoo; University of Wisconsin-Milwaukee
         Leslie Ying; University of Wisconsin-Milwaukee
 
MO2.R3.4: AUTOMATIC CONTRAST ENHANCEMENT OF WHITE MATTER LESIONS IN FLAIR MRI
         April Khademi; University of Toronto
         Anastasios Venetsanopoulos; Ryerson University
         Alan Moody; Sunnybrook Health Sciences Center