ICIP 2010
 

Technical Program

MP.PB: Deblurring and Denoising

Session Type: Poster
Time: Monday, September 27, 14:45 - 17:55
Location: S222+S223 Poster Area PB
Presentation Note: Papers scheduled before the break present for 1h20m. Papers scheduled after the break present for 1h20m.
Session Chairs: A. Enis Cetin, Bilkent University and Oscar Au, Hong Kong University of Science and Technology
 
Presenting 14:45 - 16:05
MP.PB.1a: A GAME THEORETICAL APPROACH FOR IMAGE DENOISING
         Yan Chen; University of Maryland, College Park
         K. J. Ray Liu; University of Maryland, College Park
 
MP.PB.2a: PATCH CONFIDENCE K-NEAREST NEIGHBORS DENOISING
         Cesario Vincenzo Angelino; I3S Laboratory UNS/CNRS
         Eric Debreuve; I3S Laboratory UNS/CNRS
         Michel Barlaud; I3S Laboratory UNS/CNRS
 
MP.PB.3a: MRI MOTION ARTIFACT CORRECTION BASED ON SPECTRAL EXTRAPOLATION WITH GENERALIZED SERIES
         Hong-Ren Su; National Tsing Hua University
         Tung-Ying Lee; National Tsing Hua University
         Shang-Hong Lai; National Tsing Hua University
         Ti-chiun Chang; Siemens Corporate Research
 
MP.PB.4a: CONTINUOUS MRF BASED IMAGE DENOISING WITH A CLOSED FORM SOLUTION
         Ming Liu; Chinese University of Hong Kong
         Shifeng Chen; Chinese Academy of Sciences
         Jianzhuang Liu; Chinese University of Hong Kong
 
MP.PB.5a: IMAGE DEBLUR WITH REGULARIZED BACKWARD HEAT DIFFUSION
         Liang Wang; Beijing Jiaotong University
         Siwei Luo; Beijing Jiaotong University
         Zhe Wang; Beijing Jiaotong University
 
MP.PB.6a: A NO-REFERENCE IMAGE CONTENT METRIC AND ITS APPLICATION TO DENOISING
         Xiang Zhu; University of California, Santa Cruz
         Peyman Milanfar; University of California, Santa Cruz
 
MP.PB.7a: SINGLE IMAGE MOTION DEBLURRING USING ANISOTROPIC REGULARIZATION
         Hanyu Hong; Inha University
         In Kyu Park; Inha University
 
MP.PB.8a: CEPSTRAL ANALYSIS BASED BLIND DECONVOLUTION FOR MOTION BLUR
         Haruka Asai; Keio University
         Yuji Oyamada; Keio University
         Julien Pilet; Keio University
         Hideo Saito; Keio University
 
Break (30 minutes)
 
Presenting 16:35 - 17:55
MP.PB.9b: LEARNING DENOISING BOUNDS FOR NOISY IMAGES
         Priyam Chatterjee; University of California, Santa Cruz
         Peyman Milanfar; University of California, Santa Cruz
 
MP.PB.10b: INSTRUMENT PARAMETER ESTIMATION IN BAYESIAN CONVEX DECONVOLUTION
         François Orieux; Laboratoire des signaux et systèmes
         Thomas Rodet; Laboratoire des signaux et systèmes
         Jean-François Giovannelli; Laboratoire d'intégration du matériau au système
 
MP.PB.11b: IMAGE DENOISING USING MULTI-STAGE SPARSE REPRESENTATIONS
         Tao Gan; Nanyang Technological University
         Wenmiao Lu; Nanyang Technological University
 
MP.PB.12b: SINGLE IMAGE DEBLURRING WITH ADAPTIVE DICTIONARY LEARNING
         Zhe Hu; University of California, Merced
         Jia-Bin Huang; University of California, Merced
         Ming-Hsuan Yang; University of California, Merced
 
MP.PB.13b: USING ADABOOST ON CONTOURLET BASED IMAGE DEBLURRING FOR FLUID LENS CAMERA SYSTEMS
         Jack Tzeng; University of California, San Diego
         Yoav Freund; University of California, San Diego
         Truong Q. Nguyen; University of California, San Diego
 
MP.PB.14b: POISSON NOISE REMOVAL VIA LEARNED DICTIONARY
         Yu Xiao; Beijing Jiaotong University
         Tieyong Zeng; Hong Kong Baptist University
 
MP.PB.15b: DEBLURRING OF IRREGULARLY SAMPLED IMAGES BY TV REGULARIZATION IN A SPLINE SPACE
         Andrés Almansa; Télécom ParisTech
         Julien Caron; University of Picardie Jules Verne
         Sylvain Durand; University Paris Descartes
 
MP.PB.16b: A NEW APPROACH FOR VERY DARK VIDEO DENOISING AND ENHANCEMENT
         Qing Xu; Tianjin University
         Hailin Jiang; Tianjin University
         Riccardo Scopigno; Istituto Superiore Mario Boella
         Mateu Sbert; University of Girona