DistilIQA: Distilling Vision Transformers for no-reference perceptual CT image quality assessment.
Maria G. Baldeon CalistoFrancisco Rivera-VelasteguiSusana K. Lai-YuenDaniel RiofríoNoel Pérez-PérezDiego S. BenítezRicardo Flores MoyanoPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- image quality assessment
- visual perception
- perceptual quality
- human visual system
- image quality
- structural similarity
- quality assessment
- natural scene statistics
- image quality measures
- image database
- perceptual image quality
- human vision
- reduced reference
- image quality metrics
- human perception
- computer vision
- correlation coefficient
- natural images
- quality evaluation
- subjective quality
- medical images
- distorted images
- visual quality
- image reconstruction
- quality metrics
- vision system
- image processing
- kullback leibler divergence
- quality measures
- structural similarity index
- medical imaging
- multiscale
- peak signal to noise ratio
- magnetic resonance images