Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement

Super-resolution (SR) methods enable to obtain high resolution image (HR) from multiple low resolution input images (LR) of the same scene. Development of SR algorithms for real applications require reliable image quality metrics for performance comparison of various SR methods. In this paper, six standard SR methods were implemented and subjective image quality assessment was performed to evaluate the visual quality of the enhanced images. Nine image quality metrics were examined with respect to their ability to characterize the observed subjective image quality of SR enhancement.