Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN).
Chris M. WardJosh HarguessBrendan CrabbShibin ParameswaranPublished in: CoRR (2019)
Keyphrases
- super resolution
- image quality assessment
- convolutional neural network
- low resolution
- high resolution
- quality assessment
- structural similarity
- image quality
- image reconstruction
- face detection
- human visual system
- high quality
- image database
- motion estimation
- natural images
- correlation coefficient
- human perception
- distorted images
- quality measures
- depth map
- reconstructed image
- neural network
- visual perception
- image data
- face recognition
- test images
- detection method
- face images