Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models.
Jiao WuFang LiuLicheng JiaoXiaodong WangBiao HouPublished in: IEEE Trans. Image Process. (2011)
Keyphrases
- mixture model
- wavelet domain
- image reconstruction
- compressive sensing
- random projections
- signal reconstruction
- spatial domain
- denoising
- wavelet coefficients
- gaussian mixture model
- compressed sensing
- wavelet transform
- multiscale
- em algorithm
- image denoising
- multiresolution
- super resolution
- generative model
- probabilistic model
- subband
- human visual system
- model selection
- maximum likelihood
- high frequency
- image representation
- sparse representation
- unsupervised learning
- expectation maximization
- maximum a posteriori
- frequency domain
- signal processing
- inverse problems
- probability density function
- feature extraction
- motion estimation
- noisy images
- higher order
- pattern recognition
- dimensionality reduction
- natural images