Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression.
Zhengxue ChengHeming SunMasaru TakeuchiJiro KattoPublished in: CVPR Workshops (2018)
Keyphrases
- super resolution
- image compression
- low resolution
- high resolution
- image reconstruction
- image restoration
- low resolution images
- motion estimation
- reconstructed image
- resolution enhancement
- image super resolution
- motion blur
- high resolution images
- vector quantization
- high quality
- video super resolution
- super resolution reconstruction
- image resolution
- super resolved
- light field
- higher resolution
- generative model
- multi frame
- wavelet transform
- single frame
- image patches
- single image super resolution
- restricted boltzmann machine
- denoising
- unsupervised learning
- depth map
- fractal image compression
- optical flow
- spatial resolution
- deep belief networks
- multiscale
- image sequences