Feature-segmentation strategy based convolutional neural network for no-reference image quality assessment.
Lili ShenNing HangChunping HouPublished in: Multim. Tools Appl. (2020)
Keyphrases
- image quality assessment
- convolutional neural network
- quality assessment
- natural scene statistics
- structural similarity
- image quality
- reduced reference
- image quality measures
- human visual system
- face detection
- perceptual image quality
- natural images
- quality metrics
- multiscale
- image segmentation
- correlation coefficient
- image database
- quality evaluation
- subjective quality
- feature vectors
- visual perception
- medical images
- image quality metrics
- human perception
- image features
- distorted images
- quality measures
- structural similarity index
- kullback leibler divergence
- higher order
- object detection
- test images
- bit rate
- object recognition
- video coding