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Textual Deblurring using Convolutional Neural Network
  • Muhammad Shahroz Nadeem ,
  • Sibt Hussain ,
  • Fatih Kurugollu
Muhammad Shahroz Nadeem
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Sibt Hussain
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Fatih Kurugollu
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Abstract

This paper solves the textual deblurring problem, In this paper we propose a new loss function, we provide empirical evaluation of the design choices based on which a memory friendly CNN model is proposed, that performs better then the state of the art CNN method.