Dependent component analysis for blind restoration of images degraded by turbulent atmosphere

Neurocomputing

Volumn 72, Issue 10-12, 2009, Pages 2682-2692

  Du, Qian ^a   Kopriva, Ivica ^b  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b RUDER BO KOVI INSTITUTE   (Croatia)

Author keywords

Atmospheric turbulence; Dependent component analysis; Image restoration; Independent component analysis

Indexed keywords

A-PRIORI; BLIND IMAGE DECONVOLUTION; BLIND RESTORATIONS; DEGRADED IMAGES; DEPENDENT COMPONENT ANALYSIS; FILTER-BANK; HIGH-RESOLUTION IMAGES; IMAGE FRAMES; IMAGE RESTORATION; INDEPENDENCE ASSUMPTIONS; MULTI-FRAME BLIND DECONVOLUTION; RESTORATION OF IMAGES; SINGLE CHANNELS; SOURCE IMAGES; SOURCE SEPARATIONS; TURBULENT ATMOSPHERES;

ATMOSPHERIC THERMODYNAMICS; ATMOSPHERIC TURBULENCE; BLIND SOURCE SEPARATION; CONVOLUTION; DECONVOLUTION; HEMODYNAMICS; IMAGE RECONSTRUCTION; RESTORATION;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ANALYTICAL RESEARCH; ARTICLE; ATMOSPHERE; COMPUTER SIMULATION; IMAGE QUALITY; IMAGE RECONSTRUCTION; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; SENSOR; STATISTICS;

EID: 67349117343     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.09.012     Document Type: Article

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