Abstract :
Haze is an atmospheric occurrence that notably degrades the visibility of outdoor scenes. Haze occurrence mainly due to the atmosphere particles that absorb and scatter the light that leads to the image degradation. This paper introduces a multiple fusion based novel single image approach that reduces this degradation in the visibility of images. In this method, by using white balance and contrast enhancing procedures, this approach derives from two original hazy image inputs. To blend effectively the information of the derived inputs to preserve the regions with good visibility, we filter their important features by computing three measures (weight maps): luminance, chromaticity, and saliency. To reduce artifacts introduced by the weight maps, our approach is designed in a multiscale fashion, using a Laplacian pyramid representation. This paper demonstrates the utility and effectiveness of a fusion-based technique for dehazing based on a single degraded image. The method performs in a per-pixel fashion, which is straightforward to implement. The experimental results demonstrate that the method yields results comparative to and even better than the more complex state-of-the-art techniques, having the advantage of being appropriate for real-time applications.
Author Name : Kalieswari, C & A. Joe
Keywords: Single image dehazing, outdoor images, enhancing.
Leave a Reply