Special Issue Article
An Adaptive Contrast Enhancement of Colored Foggy Images
|S.Mohanram1, T. Joyce Selva Hephzibah2, Aarthi.B3, Sakthivel.P3
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An Adaptive Contrast image enhancement is proposed for degraded color images. The fogs are removed in two concerns, at initial stage the foggy image information’s are extracted which means that HIS components are obtained by converting RGB component from an input image. At second stage the Intensity (I) has been calculated by contrast enhancement and then adjusted with the value of atmospheric light. After completion of morphological operation the fog is slightly removed from an source image. It is observed that transmission ratio is not perfect for the output of calculated atmospheric light and morphological operation. Because the fog is still exist according to the distance of the object. Moreover the gamma adjustment is made for image which comes from fulfillment operation of transmission ratio and morphological operation. Finally the enhanced defogging image has been obtained as a required or goal output. The resultant image has increased efficiency and reduced system computation time. The proposed method overcomes the drawbacks of retinex method of theory approach.