A new nonlocal maximum likelihood estimation method for denoising magnetic resonance images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8251 LNCS, Issue , 2013, Pages 451-458

  Rajan, Jeny ^a,b   Den Dekker, Arnold J ^c   Juntu, Jaber ^b   Sijbers, Jan ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

^b UNIVERSITY OF ANTWERP   (Belgium)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Image denoising; Kolmogorov Smirnov test; MRI; Noise; Rice distribution

Indexed keywords

ESTIMATION METHODS; EUCLIDEAN DISTANCE; KOLMOGOROV-SMIRNOV; KOLMOGOROV-SMIRNOV TEST; MAXIMUM LIKELIHOOD ESTIMATION METHOD; NOISE; OPTIMAL RESULTS; RICE DISTRIBUTION;

ARTIFICIAL INTELLIGENCE; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; PATTERN RECOGNITION;

IMAGE DENOISING;

EID: 84893363287     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-45062-4_62     Document Type: Conference Paper

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