Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution

no code implementations • 18 Jan 2019 • Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet

Adversarially trained deep neural networks have significantly improved performance of single image super resolution, by hallucinating photorealistic local textures, thereby greatly reducing the perception difference between a real high resolution image and its super resolved (SR) counterpart.

Image Super-Resolution SSIM