Anisotropic multiscale sparse learned bases for image compression.
Angélique DrémeauCédric HerzetChristine GuillemotJean-Jacques FuchsPublished in: Visual Information Processing and Communication (2010)
Keyphrases
- image compression
- multiscale
- wavelet transform
- image processing
- vector quantization
- subband
- anisotropic diffusion
- wavelet domain
- compression scheme
- edge detection
- compression algorithm
- compression ratio
- image coding
- coarse to fine
- sparse data
- image segmentation
- high dimensional
- scale space
- natural images
- filter bank
- partial differential equations
- image representation
- compressed sensing
- high frequency
- sparse coding
- affine invariant
- discrete cosine transform
- basis functions
- lossless compression
- translation invariant
- compression standards
- low bit rate
- sparse coefficients
- transform coding
- arithmetic coding
- diffusion filtering
- compressive sensing
- image coder
- diffusion equation
- compressed images
- reconstructed image
- computer vision