Robust kernel regression for restoration and reconstruction of images from sparse noisy data

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1257-1260

  Takeda, Hiroyuki ^a   Farsiu, Sina ^a   Milanfar, Peyman ^a  

^a University of California   (United States)

Author keywords

Image reconstruction; Inverse problem; Nonlinear estimation; Piecewise polynomial approximation

Indexed keywords

COMPRESSION ARTIFACTS; DATA SETS; DE-NOISING; GAUSSIANS; HIGH QUALITY RECONSTRUCTION; KERNEL REGRESSION; LOCAL DENSITY; NOISY DATA; NON-LINEAR ESTIMATION; NON-PARAMETRIC ESTIMATIONS; PIECEWISE POLYNOMIALS; SAMPLING DISTRIBUTION; STATE OF THE ART; SUPER RESOLUTION; UNDER-DETERMINED; UPSCALING;

ESTIMATION; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; INVERSE PROBLEMS;

POLYNOMIAL APPROXIMATION;

EID: 78649858822     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312573     Document Type: Conference Paper

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