Technical Program

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TPA.P8: Denoising

Session Type: Poster
Time: Tuesday, September 27, 14:00 - 15:20
Location: Room 301 CD: Poster Area 8
Session Chair: Narciso García, Universidad Politécnica de Madrid
 
 TPA.P8.1: WEIGHTED TENSOR NUCLEAR NORM MINIMIZATION FOR COLOR IMAGE DENOISING
         Kaito Hosono; Chiba Institute of Technology
         Shunsuke Ono; Tokyo Institute of Technology
         Takamichi Miyata; Chiba Institute of Technology
 
 TPA.P8.2: HYPERSPECTRAL IMAGE DENOISING BASED ON LOW-RANK REPRESENTATION AND SUPERPIXEL SEGMENTATION
         Jiayi Ma; Wuhan University
         Chang Li; Huazhong University of Science and Technology
         Yong Ma; Wuhan University
         Zhongyuan Wang; Wuhan University
 
 TPA.P8.3: CONTENT-ADAPTIVE LOW RANK REGULARIZATION FOR IMAGE DENOISING
         Hangfan Liu; Peking University
         Xinfeng Zhang; Nanyang Technological University
         Ruiqin Xiong; Peking University
 
 TPA.P8.4: ADAPTIVE REGULARIZER LEARNING FOR LOW RANK APPROXIMATION WITH APPLICATION TO IMAGE DENOISING
         Xixi Jia; Xidian University
         Xiangchu Feng; Xidian University
         Weiwei Wang; Xidian University
 
 TPA.P8.5: AUTOMATIC RANK ESTIMATION OF PARAFAC DECOMPOSITION AND APPLICATION TO MULTISPECTRAL IMAGE WAVELET DENOISING
         Abir Zidi; Fraunhofer Institute IIS
         Julien Marot; Institut Fresnel
         Salah Bourennane; Institut Fresnel
         Klaus Spinnler; Fraunhofer Institute IIS
 
 TPA.P8.6: DENOISING METHOD SELECTION BY COMPARISON-BASED IMAGE QUALITY ASSESSMENT
         Haoyi Liang; University of Virginia
         Daniel Weller; University of Virginia
 
 TPA.P8.7: LOCAL DENOISING BASED ON CURVATURE SMOOTHING CAN VISUALLY OUTPERFORM NON-LOCAL METHODS ON PHOTOGRAPHS WITH ACTUAL NOISE
         Gabriela Ghimpeteanu; Universitat Pompeu Fabra
         David Kane; Universitat Pompeu Fabra
         Thomas Batard; Universitat Pompeu Fabra
         Stacey Levine; Duquesne University
         Marcelo Bertalmío; Universitat Pompeu Fabra
 
TPA.P8.8: ELIMINATION OF OUTLIERS FROM 2D POINT SETS USING THE HELMHOLTZ PRINCIPLE
         Demetrios Gerogiannis; University of Ioannina
         Christophoros Nikou; University of Ioannina
         Aristidis Lykas; University of Ioannina