abstract : Blurred images are always a problem whichmight be a result of bad image settings on the camera.However, with advancing technology we can overcome thisproblem by recovering a sharp image from its blurred version,whilewe’vegotposterioriorexpectationmaximizationframeworks to address this, but the results aren’t up to markwhen images are with high-pixels .To handle such situationswe can use a deep – learning based approach which alreadyhas shown unprecedented results in the field of computervision. There are various deep learning techniques howeverGenerative Adversarial Network might be the best, where itdoes not require to predict the fuzzy kernel of the blurredimages and it can directly realize the blind removal. So, wehope to achieve better results by using GAN Learning. Gotthis idea of a computer vision project from the lectures ofProfessor Smith on computer Speech and Images
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