VIDEO ENHANCEMENT USING SINGLE IMAGE SUPER RESOLUTION

Our project presents an overview of video enhancement using a single image super-resolution with four different imaging techniques namely Super-Resolution Convolutional Neural Network(SRCNN), Fast Super-Resolution Convolutional Neural Network(FSRCNN), Super-Resolution Generative Adversarial Networks (SRGAN) and Fast Super-Resolution Generative Adversarial Networks(FSRGAN). Experiment analysis on these models is conducted by providing different types of input videos like a music video, sports video, surveillance video, etc, and analyses the results on each type of input.

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