Enhancement of single foggy image using feature based fusion technique

Foggy and hazy weather conditions are very common natural phenomenon which reduces the visibility of acquired outdoor pictures. Poor visibility creates innumerable problems in various facets of life viz. in tracking, surveillance and in many more fields. In this paper, an efficient feature based fusion technique has been used to enhance the single foggy image at transmission level. Fusion at this level retains most significant features of foggy image and using this fused single input at transmission level, output defog image is calculated. Proposed methodology overcomes the shortcoming of existing Dark Channel Prior and Bright Channel Prior methods.Output of proposed method shows promising result for all types of datasets varying in fog density as well as in size. The foremost major advantage of this method is that it does not require any pre-processing or post processing and thus, very simple to implement.