Blind image deconvolution through support vector regression

IEEE Transactions on Neural Networks

Volumn 18, Issue 3, 2007, Pages 931-935

  Li, Dalong ^a,b   Mersereau, Russell M ^a   Simske, Steven ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

Blind deconvolution; Lucy Richardson (LR) algorithm; Peak signal to noise ratio (PSNR); Support vector regression (SVR)

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; DECONVOLUTION; IMAGE RECONSTRUCTION; REGRESSION ANALYSIS; SIGNAL TO NOISE RATIO;

BLIND DECONVOLUTION; LUCY-RICHARDSON (LR) ALGORITHM; SUPPORT VECTOR REGRESSION (SVR);

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; REGRESSION ANALYSIS; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS;

EID: 34248677913     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.891622     Document Type: Article

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