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A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy

Publication Type : Journal Article

Publisher : IEEE

Source : 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, March 2019, Article number 8728354, Pages 844-848

Url : https://ieeexplore.ieee.org/document/8728354

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Verified : No

Year : 2020

Abstract : The visibility of a scene is attenuated by external factors such as fog or haze, dimness and smog. It is also degraded by light scattering caused by minute dust fragments which absorb the light refracted in the atmosphere and the light emitted from an object. Hence this phenomenon clearly becomes an issue for image processing, as they are built for a normally clear field-view. Surveillance systems and outdoor object detection systems require the input image to be clear. Thus, the enhancement of visibility is very important for such applications. We propose a method that removes the haze in the input image in step by step process that includes contrast enhancement, white balancing, weight map estimation and multi-scale fusion techniques.

Cite this Research Publication : Subramanium, V.S.G., Prasath, R.S.V., Vaishnav, P., Venkatraghavan, S., Karthika, R., A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy, 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, March 2019, Article number 8728354, Pages 844-848

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