Monte Carlo Noise Reduction Using Bayesian Method in Wavelet domain.
Ruifeng XuSumanta N. PattanaikPublished in: VVG (2005)
Keyphrases
- monte carlo
- noise reduction
- wavelet domain
- bayesian methods
- denoising
- spatial domain
- wavelet coefficients
- multiscale
- edge detection
- edge preserving
- hyperparameters
- wavelet transform
- noise level
- image denoising
- markov chain
- multiresolution
- human visual system
- signal to noise ratio
- model selection
- median filter
- bayesian framework
- gaussian processes
- noise removal
- machine learning
- subband
- particle filter
- sar images
- bayesian inference
- high frequency
- learning algorithm
- natural images
- image quality
- soft thresholding
- frequency domain
- maximum likelihood
- image compression
- least squares
- computational complexity