Iterative weighted maximum likelihood denoising with probabilistic patch-based weights

IEEE Transactions on Image Processing

Volumn 18, Issue 12, 2009, Pages 2661-2672

  Deledalle, Charles Alban ^a   Denis, Loïc ^b   Tupin, Florence ^a  

^a INSTITUT TELECOM   (France)

^b CPE LYON   (France)

Author keywords

Image denoising; Nonlocal means (NL means); Patch based methods; Synthetic aperture radar (SAR); Weighted maximum likelihood estimation (WMLE)

Indexed keywords

ADDITIVE GAUSSIAN NOISE; DATA-DRIVEN; DE-NOISING; DE-NOISING TECHNIQUES; EUCLIDEAN DISTANCE; IMAGE DE-NOISING; ITERATIVE PROCESS; ITERATIVE-WEIGHTED; LOW SIGNAL-TO-NOISE RATIO; MULTIPLICATIVE SPECKLE NOISE; NL-MEANS; NOISE DISTRIBUTION; NONLOCAL; NUMERICAL EXPERIMENTS; PATCH-BASED METHODS; PIXEL SIMILARITIES; SIMILARITY CRITERIA; STATE-OF-THE-ART PERFORMANCE; SYNTHETIC APERTURE RADAR IMAGES; UNCORRELATED NOISE; WEIGHTED AVERAGES; WEIGHTED MAXIMUM LIKELIHOOD ESTIMATION (WMLE);

ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; IMAGING SYSTEMS; NOISE POLLUTION CONTROL; PIXELS; SIGNAL TO NOISE RATIO; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 77649236151     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2029593     Document Type: Article

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