Poisson noise reduction with non-local PCA

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 1109-1112

  Salmon, J ^a   Deledalle, C A ^b   Willett, R ^a   Harmany, Z ^a  

^a DUKE UNIVERSITY   (United States)

^b CNRS   (France)

Author keywords

gradient methods; Image denoising; Newton's method; signal representations

Indexed keywords

DE-NOISING; DE-NOISING ALGORITHM; EMPIRICAL EVALUATIONS; LEARNING TECHNIQUES; NEWTON'S METHODS; NIGHT VISION; NOISE REMOVAL; NOISY IMAGE; NONLOCAL; OVERCOMPLETE DICTIONARIES; PCA (PRINCIPAL COMPONENT ANALYSIS); PHOTON COUNT; POISSON NOISE; SIGNAL REPRESENTATIONS; SPECTRAL IMAGING;

ALGORITHMS; GRADIENT METHODS; IMAGE DENOISING; IMAGE RECONSTRUCTION; NEWTON-RAPHSON METHOD; NUCLEAR MEDICINE; PHOTONS; POISSON DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPECTROSCOPY;

ACOUSTIC NOISE;

EID: 84867597603     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288081     Document Type: Conference Paper

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