Super-Resolution is an image processing technique which takes input of a single or multiple low-resolution images and produces a single or multiple high-resolution images. By Super-Resolution processing, the quality of images can be enhanced and the follow-up stage of image processing (e.g., segmentation, object recognition, object tracking, or biometric identification) can achieve a higher success rate. The goal of iris Super-Resolution is to apply Super-Resolution technique in the specific domain as in iris image in order to enhance the quality of iris image. The iris image of better quality will result in a higher verification/recognition rate in iris recognition systems.
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