An extended maximum likelihood approach for the robust blind separation of autocorrelated images from noisy mixtures

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

Volumn 3195, Issue , 2004, Pages 954-961

  Gerace, Ivan ^a   Cricco, Francesco ^a   Tonazzini, Anna ^b  

^a UNIVERSITY OF PERUGIA   (Italy)

^b ISTI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES;

AUTOCORRELATION MODELS; BAYESIAN ESTIMATION FRAMEWORK; LOCAL CORRELATIONS; MAXIMUM LIKELIHOOD APPROACHES; ROBUSTNESS AGAINST NOISE; STATISTICAL INDEPENDENCE; SYNTHETIC MIXTURES; UNKNOWN COEFFICIENTS;

IMAGE PROCESSING;

EID: 35048814973     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_120     Document Type: Article

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