Stereo Image Quality Assessment Based on Sparse Binocular Fusion Convolution Neural Network.
Sumei LiXu HanMuhammad ZubairShuai MaPublished in: VCIP (2019)
Keyphrases
- image quality assessment
- neural network
- stereo images
- stereo vision
- stereo matching
- stereo camera
- quality assessment
- structural similarity
- image quality
- natural scene statistics
- human visual system
- image quality measures
- vision system
- image database
- reduced reference
- quality evaluation
- image pairs
- blind image quality assessment
- quality measures
- natural images
- quality metrics
- natural scenes
- correlation coefficient
- visual perception
- image fusion
- human perception
- computer vision
- kullback leibler divergence
- image quality metrics
- image processing
- bp neural network
- depth map
- back propagation
- evaluation model
- distorted images
- object recognition