How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional Sparse Coding for Quality Assessment of Synthesized Views.
Suiyi LingPatrick Le CalletPublished in: ICIP (2018)
Keyphrases
- sparse coding
- quality assessment
- visual quality
- human visual system
- image quality
- quality metrics
- peak signal to noise ratio
- perceptual quality
- natural images
- video quality assessment
- sparse representation
- bit rate
- image classification
- linear combination
- subjective quality
- high frequency
- unsupervised learning
- generative model
- reconstructed image
- image representation
- reduced reference
- image quality assessment
- compressed images
- video quality
- feature space
- image patches
- structural similarity index
- low bit rate
- structural similarity
- multiscale
- visual words
- visual information
- high dimensional
- human perception
- high quality
- video coding
- human observers
- higher order
- distorted images
- data analysis
- compression ratio
- feature vectors