Semi-Supervised Authentically Distorted Image Quality Assessment With Consistency-Preserving Dual-Branch Convolutional Neural Network.
Guanghui YueDi ChengLeida LiTianwei ZhouHantao LiuTianfu WangPublished in: IEEE Trans. Multim. (2023)
Keyphrases
- image quality assessment
- convolutional neural network
- semi supervised
- distorted images
- structural similarity
- quality assessment
- face detection
- image quality
- natural scene statistics
- perceptual quality
- human visual system
- image database
- blind image quality assessment
- correlation coefficient
- image quality measures
- image quality metrics
- natural images
- quality evaluation
- quality metrics
- pairwise
- labeled data
- human perception
- reduced reference
- quality measures
- neural network
- natural scenes
- active learning
- kullback leibler divergence
- visual perception
- structural information
- dimensionality reduction
- object detection
- image segmentation