A Joint Method for Enhancing a Dehazed Image

In this paper, we propose a joint method for enhancing an image from a dehazed image. The joint method includes the fusion strategy, white balancing and contrast enhancement. Haze is an atmospheric phenomenon that degrades the visibility of an image. It scatters the light from an image thus make the image darker. This paper introduces a method to remove the haze from an image and enhance the dehazed image. For this, a fusion strategy is introduced to remove haze. In fusion method, we derive two input images from the original hazy image. The derived inputs are obtained by applying the white balance and contrast enhancement. The weighted maps are measured from the derived inputs. The weighted maps are luminance, chromaticity, and saliency. The derived inputs and normalized weighted maps are fused by using the Laplacian and Guassian pyramid transforms. The output dehazed image is enhanced by using the white balancing and the histogram equalization method. The two properties of histogram transform, gain and non-linearity is computed. The results show that this method is comparative and better than previous methods.