Image Compression: Sparse Coding vs. Bottleneck Autoencoders.
Yijing WatkinsMohammad SayehOleksandr IaroshenkoGarrett T. KenyonPublished in: CoRR (2017)
Keyphrases
- sparse coding
- image compression
- natural images
- deep belief networks
- denoising
- dictionary learning
- sparse representation
- vector quantization
- image classification
- unsupervised learning
- wavelet transform
- linear combination
- discriminative power
- generative model
- image processing
- image representation
- visual words
- feature space
- single image super resolution
- sparse codes
- image patches
- reconstructed image
- high dimensional
- multiscale
- object category recognition
- pattern recognition
- image segmentation
- bag of words
- image features
- ground truth
- object recognition