Image Super Resolution refers to the task of enhancing the resolution of an image from low-resolution (LR) to high-resolution (HR). It is popularly used in the following applications:
- Surveillance: to detect, identify, and perform facial recognition on low-resolution images obtained from security cameras.
- Medical: capturing high-resolution MRI images can be tricky when it comes to scan time, spatial coverage, and signal-to-noise ratio (SNR). Super resolution helps resolve this by generating high-resolution MRI from otherwise low-resolution MRI images.
- Media: super resolution can be used to reduce server costs, as media can be sent at a lower resolution and upscaled on the fly. Deep learning techniques have been fairly successful in solving the problem of image and video super-resolution.
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