Volume : VIII, Issue : I, January - 2019

An image dehazing algorithm based on self-attention generative model

Bowen Li

Abstract :

 The traditional methods of single image dehazing are composed of the methods based on image enhancement technique and the methods based on the atmospheric scattering model, the former is simply adjusted according to the statistical global features or local features, it does not take the content of the image information into account, although the latter is strongly explainable and the result is relative better, they need extra parameters, so their generalization ability is poor. In this paper, an image dehazing algorithm based on self–attention generative model is proposed, which make dehazeing images through end–to–end training process available

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

AN IMAGE DEHAZING ALGORITHM BASED ON SELF-ATTENTION GENERATIVE MODEL, Bowen Li INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-1 | January-2019

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