Denoising and compression in wavelet domain via projection onto approximation coefficients.
Mario MastrianiPublished in: CoRR (2016)
Keyphrases
- wavelet domain
- denoising
- wavelet coefficients
- image denoising
- wavelet packet
- denoising methods
- autoregressive model
- shift invariant
- wavelet basis
- noisy images
- discrete wavelet transform
- wavelet decomposition
- high frequency sub bands
- denoising algorithm
- image compression
- total variation
- natural images
- wavelet transform
- shrinkage functions
- generalized gaussian
- image processing
- subband
- wavelet denoising
- gaussian noise
- wavelet subbands
- stationary wavelet transform
- translation invariant
- multiscale
- sar images
- compression algorithm
- frequency domain
- multiresolution
- watermark embedding
- computer vision
- linear combination
- noise removal
- high frequency
- watermarking algorithm
- face recognition
- texture image retrieval
- wavelet domain hidden markov tree
- lossy compression
- basis functions
- compression ratio
- wavelet shrinkage
- nonlinear diffusion
- dual tree
- lossless compression
- noise level
- image segmentation
- spatial domain