Joint Image Compression and Denoising via Latent-Space Scalability.
Saeed Ranjbar AlvarMateen UlhaqHyomin ChoiIvan V. BajicPublished in: CoRR (2022)
Keyphrases
- denoising
- image compression
- latent space
- image processing
- latent variables
- image denoising
- low dimensional
- gaussian process
- dimensionality reduction
- wavelet transform
- gaussian processes
- parameter space
- generative model
- subband
- feature space
- wavelet packet
- lower dimensional
- noisy images
- probabilistic latent semantic analysis
- natural images
- manifold learning
- gaussian process latent variable models
- transfer learning
- matrix factorization
- high dimensional
- distance metric
- high dimensional data
- collaborative filtering
- multiresolution
- computer vision
- filter bank
- wavelet coefficients
- text classification
- probabilistic model
- high dimensional spaces
- search space