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Critical Analysis and Implementation of SRCNN (part of Deep Learning and Computer Vision module)

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Image Super-resolution Using Deep Learning

Image super-resolution with deep convolutional neural network is performed and its performance is evaluated through peak-signal-to-noise-ratio (PSNR). PSNR evaluates image restoration quality and is at least partially related to the perceptual quality.

Critical analysis of the trends in Image Super-Resolution is also done. The original paper can be found here: SRCNN

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Critical Analysis and Implementation of SRCNN (part of Deep Learning and Computer Vision module)

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