Comparative Study on Fusion Based Image Dehazing

Abstract: Image processing techniques improve the quality of an image or enhance the maximum information from the degraded image. Image Fusion is a technique of enhancing the quality of image from given images. It is the process of combining two or more images into a single image; method is a fusion-based strategy that derives from two original hazy image inputs by applying a white balance and a contrast enhancing procedure. Then the resulting image will be more clear and enhanced from the prior. Many development and research is being done in these field areas of Computer Vision, Automatic object detection, Image processing, parallel and distributed processing, Robotics and remote sensing. This thesis reports a detailed study performed over a set of image fusion algorithms regarding their implementation. The thesis 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 thesis finally concludes with an assessment made on the various image fusion algorithms, identifying the Pyramid Fusion algorithm.

Keywords: Single image dehazing, Fusion based, Pyramid method, Dwt.