A Deep Learning Based No-Reference Image Quality Assessment Model for Single-Image Super-Resolution.
Bahetiyaer BareKe LiBo YanBailan FengChunfeng YaoPublished in: ICASSP (2018)
Keyphrases
- deep learning
- image quality
- single image super resolution
- sparse coding
- unsupervised learning
- super resolution
- quality assessment
- visual quality
- image patches
- low resolution
- high quality
- image quality assessment
- image data
- perceptual image quality
- human visual system
- machine learning
- sparse representation
- compression ratio
- bit rate
- weakly supervised
- high resolution
- reconstructed image
- image reconstruction
- peak signal to noise ratio
- natural images
- feature vectors
- mental models
- supervised learning
- feature extraction
- semi supervised