Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System.
Yinghao ChuDaquan FengZuozhu LiuZizhou ZhaoZhenzhong WangXiang-Gen XiaTony Q. S. QuekPublished in: IEEE Internet Things J. (2022)
Keyphrases
- visual quality
- hybrid learning
- image quality
- high frequency
- bit rate
- human visual system
- neuro fuzzy
- reconstructed image
- peak signal to noise ratio
- low bit rate
- higher education
- error concealment
- compressed images
- quality assessment
- perceptual quality
- online learning
- signal noise ratio
- multiresolution
- e learning
- visual information
- edge detection
- edge information
- rough sets
- computational complexity
- physical education
- perceptual distortion
- decision making
- subband
- blended learning
- video quality
- feature space
- high quality