Technical Program

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MQ.P2: Image Enhancement I

Session Type: Poster
Time: Monday, October 8, 16:20 - 18:00
Location: Poster Area 2
Session Chair: Mary Comer, Purdue University
 
 MQ.P2.1: A MULTI-EXPOSURE IMAGE FUSION BASED ON THE ADAPTIVE WEIGHTS REFLECTING THE RELATIVE PIXEL INTENSITY AND GLOBAL GRADIENT
         Sang-Hoon Lee; Seoul National University
         Jae Sung Park; Seoul National University
         Nam Ik Cho; Seoul National University
 
 MQ.P2.2: MAXIMUM LIKELIHOOD ESTIMATION OF REGULARISATION PARAMETERS
         Ana Fernandez Vidal; Heriot-Watt University
         Marcelo Pereyra; Heriot-Watt University
 
 MQ.P2.3: ADAPTIVE LOCAL IMAGE ENHANCEMENT BASED ON LOGARITHMIC MAPPINGS
         Jose-Luis Lisani; Universitat Illes Balears
 
 MQ.P2.4: ASSESSING THE IMPACT OF THE DECEIVED NON LOCAL MEANS FILTER AS A PREPROCESSING STAGE IN A CONVOLUTIONAL NEURAL NETWORK BASED APPROACH FOR AGE ESTIMATION USING DIGITAL HAND X-RAY IMAGES
         Saul Calderon-Ramirez; Instituto Tecnologico de Costa Rica
         Fabian Fallas-Moya; Universidad de Costa Rica
         Manuel Zumbado-Corrales; Instituto Tecnologico de Costa Rica
         Pascal Tyrrell; University of Toronto
         Hershel Stark; University of Toronto
         Ziga Emersic; University of Ljubljana
         Blaz Meden; University of Ljubljana
         Martin Solis; Instituto Tecnologico de Costa Rica
 
 MQ.P2.5: AN ADVANCED VISIBILITY RESTORATION TECHNIQUE FOR UNDERWATER IMAGES
         Sidharth Gautam; Indian Institute of Technology
         Tapan Kumar Gandhi; Indian Institute of Technology
         B.K. Panigrahi; Indian Institute of Technology
 
 MQ.P2.6: BALANCING INCIDENT AND AMBIENT LIGHT FOR ILLUMINATION COMPENSATION IN VIDEO APPLICATIONS
         Buti Al Delail; Khalifa University
         Harish Bhaskar; Khalifa University
         M. Jamal Zemerly; Khalifa University
         Naoufel Werghi; Khalifa University
 
 MQ.P2.7: RECOVERING TEXTURE OF DENOISED IMAGE VIA ITS STATISTICAL ANALYSIS
         Yuta Saito; Chiba Institute of Technology
         Takamichi Miyata; Chiba Institute of Technology
 
MQ.P2.8: DEEP SHRINKAGE CONVOLUTIONAL NEURAL NETWORK FOR ADAPTIVE NOISE REDUCTION
         Kenzo Isogawa; Toshiba Corpolation
         Takashi Ida; Toshiba Corpolation
         Taichiro Shiodera; Toshiba Corpolation
         Tomoyuki Takeguchi; Toshiba Corpolation