ICASSP 2010 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - March 14 - 19, 2010 - Dallas, Texas, USA

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IVMSP-P10: Image Reconstruction and Enhancement

Session Type: Poster
Time: Friday, March 19, 10:00 - 12:00
Location: Poster Area G
Session Chair: Xiaolin Wu, McMaster University
 
  IVMSP-P10.1: BLIND SEPARATION METHODS BASED ON CORRELATION FOR SPARSE POSSIBLY-CORRELATED IMAGES
         Ines Meganem; CNRS, University of Toulouse
         Yannick Deville; University of Toulouse
         Matthieu Puigt; University for Information Technologies
 
  IVMSP-P10.2: SOLVING A PROBLEM OF SOURCES SEPARATION STEMMING FROM A LINEAR COMBINATION: APPLIED TO THE 3D RECONSTRUCTION OF THE SOLAR ATMOSPHERE
         Belkacem Kherrab; Laboratoire des Signaux et Systèmes
         Thomas Rodet; Laboratoire des Signaux et Systèmes
         Jérôme Idier; Institut de Recherche en Communications et Cybernétique de Nantes
 
  IVMSP-P10.3: SYNTHETIC APERTURE RADAR AUTOFOCUS VIA SEMIDEFINITE RELAXATION
         Kuang-Hung Liu; University of Michigan
         Ami Wiesel; University of Michigan
         David Munson; University of Michigan
 
  IVMSP-P10.4: MULTICHANNEL SAR AUTOFOCUS USING MULTIPLE LOW-RETURN CONSTRAINTS
         Hyun Jeong Cho; University of Michigan
         David Munson; University of Michigan
 
  IVMSP-P10.5: DECONVOLUTION WITH GAUSSIAN BLUR PARAMETER AND HYPERPARAMETERS ESTIMATION
         François Orieux; Laboratoire des Signaux et Systèmes
         Jean-François Giovannelli; Laboratoire de l'Intégration du Matériau au Système
         Thomas Rodet; Laboratoire des Signaux et Systèmes
 
  IVMSP-P10.6: PSF ESTIMATION VIA COVARIANCE MATCHING
         Wei Hu; Xi'an Jiaotong University
         Jianru Xue; Xi'an Jiaotong Univeristy
         Nanning Zheng; Xi'an Jiaotong Univeristy
 
  IVMSP-P10.7: FUNDAMENTAL LIMITS OF IMAGE DENOISING: ARE WE THERE YET?
         Priyam Chatterjee; University of California, Santa Cruz
         Peyman Milanfar; University of California, Santa Cruz
 
  IVMSP-P10.8: EDGE DETECTION AND IMAGE RESTORATION WITH ANISOTROPIC TOPOLOGICAL GRADIENT
         Stanislas Larnier; Université Paul Sabatier
         Jérôme Fehrenbach; Université Paul Sabatier
 
  IVMSP-P10.9: BAYESIAN ERROR CONCEALMENT WITH DCT PYRAMID
         Guangtao Zhai; Shanghai Jiao Tong University
         Xiaokang Yang; Shanghai Jiao Tong University
         Weisi Lin; Nanyang Technological University
         Wenjun Zhang; Shanghai Jiao Tong University
 
  IVMSP-P10.10: HALF-QUADRATIC REGULARIZATION BASED DE-NOISING FOR HIGH DYNAMIC RANGE IMAGE SYNTHESIS
         Wei Yao; Institute for Infocomm Research
         Zhengguo Li; Institute for Infocomm Research
         Susanto Rahardja; Institute for Infocomm Research
         Susu Yao; Institute for Infocomm Research
         Jinghong Zheng; Institute for Infocomm Research
 
  IVMSP-P10.11: RELATIVE GRADIENTS FOR IMAGE LIGHTING CORRECTION
         Zujun Hou; Institute for Infocomm Research, A*STAR
         Wei-Yun Yau; Institute for Infocomm Research, A*STAR
 
  IVMSP-P10.12: REAL-TIME CONTENT ADAPTIVE CONTRAST ENHANCEMENT FOR SEE-THROUGH FOG AND RAIN
         Zhen Jia; United Technologies Research Center
         Hongcheng Wang; United Technologies Research Center
         Rodrigo Caballero; United Technologies Research Center
         Ziyou Xiong; United Technologies Research Center
         Jianwei Zhao; United Technologies Research Center
         Alan Finn; United Technologies Research Center
 
  IVMSP-P10.13: COLLABORATIVE IMAGE PROCESSING ALGORITHM FOR DETAIL REFINEMENT AND ENHANCEMENT VIA MULTI-LIGHT IMAGES
         Jinghong Zheng; Institute for Infocomm Research, A*STAR
         Zhengguo Li; Institute for Infocomm Research, A*STAR
         Susanto Rahardja; Institute for Infocomm Research, A*STAR
         Susu Yao; Institute for Infocomm Research, A*STAR
         Wei Yao; Institute for Infocomm Research, A*STAR
 
  IVMSP-P10.14: A TELESCOPING APPROACH TO RECURSIVE ENHANCEMENT OF NOISY IMAGES
         Divyanshu Vats; Carnegie Mellon University
         José M. F. Moura; Carnegie Mellon University
 

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