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@article{149632,
        author = {KAVITHA C B and KALAISELVI R and KOUSALYA P and Mrs.P.POONKUZHALI},
        title = {IMAGE DEFOGGING AND CONTRAST ENHANCEMENT USING IMAGE PROCESSING TECHNIQUES FOR SURVEILLENCE APPLICATIONS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {1},
        pages = {140-143},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149632},
        abstract = {Environmental factors such as fog and haze affect the image quality and make it unsuitable for automated systems, such as, intelligent vehicles, surveillance with clear visibility for processing and decision making. Dark channel prior (DCP) method is used to estimate atmospheric light for the purpose of image defogging. DCP based image defogging method with improved transmission map to avoid blocking artifacts. The transmission maps are computed for RGB color spaces. After that the haze removed image is divided into three transmission maps called R, G, and B channels. They are separated and utilized to compute an enhancement process. After the separation to computes the enhancement process for these three color maps separately.   
By combining all these three enhanced color maps it computes the final enhancement. 
},
        keywords = {},
        month = {},
        }