INSTITUTIONAL DIGITAL REPOSITORY

Varicolored image De-hazing

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dc.contributor.author Dudhane, A.
dc.contributor.author Biradar, K.
dc.contributor.author Patil, P.
dc.contributor.author Hambarde, P.
dc.contributor.author Murala, S.
dc.date.accessioned 2021-07-04T10:59:09Z
dc.date.available 2021-07-04T10:59:09Z
dc.date.issued 2021-07-04
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/2008
dc.description.abstract The quality of images captured in bad weather is often affected by chromatic casts and low visibility due to the presence of atmospheric particles. Restoration of the color balance is often ignored in most of the existing image de-hazing methods. In this paper, we propose a varicolored end-to-end image de-hazing network which restores the color balance in a given varicolored hazy image and recovers the haze-free image. The proposed network comprises of 1) Haze color correction (HCC) module and 2) Visibility improvement (VI) module. The proposed HCC module provides required attention to each color channel and generates color balanced hazy image. While the proposed VI module processes the color balanced hazy image through novel inception attention block to recover the hazefree image. We also propose a novel approach to generate a large-scale varicolored synthetic hazy image database. An ablation study has been carried out to demonstrate the effect of different factors on the performance of the proposed network for image de-hazing. Three benchmark synthetic datasets have been used for quantitative analysis of the proposed network. Visual results on set of real-world hazy images captured in different weather conditions demonstrate the effectiveness of the proposed approach for varicolored image de-hazing. en_US
dc.language.iso en_US en_US
dc.title Varicolored image De-hazing en_US
dc.type Article en_US


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