Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network.
Chaofeng LiLixia YunShoukun XuPublished in: Multim. Tools Appl. (2022)
Keyphrases
- image quality assessment
- convolutional neural network
- visual perception
- depth perception
- reduced reference
- image quality
- human perception
- structural similarity
- quality assessment
- visual attention
- human visual system
- face detection
- depth cues
- image quality metrics
- vision system
- image database
- natural scene statistics
- natural scenes
- correlation coefficient
- saliency map
- quality metrics
- blind image quality assessment
- image quality measures
- quality evaluation
- stereo vision
- structural information
- distorted images
- natural images
- neural network
- eye tracking
- action recognition
- image compression
- image data
- multiresolution