Haze Removal Using Gradient Fusion Strategy

The goal of Haze Removal algorithms is to recover and enhanced the scene from foggy image. Many applications need accurate Haze Removal algorithms. The de-fog feature works through a complex algorithm which based on the fog destiny of the scene, then analyses the atmospheric light and sharpness adjustments to produce image enhancement. In contrast with existing technology the proposed method focus on image enhancement based on Adaptive contrast Histogram equalization, and image edge strengthened Gradient model. The fusion strategy is driven by the intrinsic properties of the original image and is highly dependent on the choice of the inputs and the weights. Then the output haze free image has reconstructed using fusion methodology .In order to increase the accuracy, interpolation method has used in the output reconstruction. A promising retrieval performance is achieved especially in particular examples.