Image denoising in the wavelet domain using a new adaptive thresholding function

Neurocomputing

Volumn 72, Issue 4-6, 2009, Pages 1012-1025

  Nasri, Mehdi ^a   Nezamabadi pour, Hossein ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Gaussian noise; Image denoising; Speckle noise; Thresholding function; Thresholding neural networks; Wavelet transform

Indexed keywords

GAUSSIAN NOISE; IMAGE DENOISING; SPECKLE NOISE; THRESHOLDING FUNCTION; THRESHOLDING NEURAL NETWORKS;

FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); IMAGE PROCESSING; IMAGE SEGMENTATION; PROBABILITY DENSITY FUNCTION; SPECKLE; TRELLIS CODES; VEGETATION; WAVELET TRANSFORMS;

NEURAL NETWORKS;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; IMAGE ANALYSIS; INTERMETHOD COMPARISON; LEARNING; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; NOISE REDUCTION; NORMAL DISTRIBUTION; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIMULATION; ULTRASOUND;

EID: 58149457783     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.04.016     Document Type: Article

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