Shadow removal for umbrageous information recovery in aerial images

The undesirable local change in the illumination intensity observed in a captured image often due to some opaque object hindering the light path is termed as shadow. Apart from resisting the image to deliver the high quality content, it also reduces the efficiency of various next level image processing applications such as object detection, feature extraction etc. This paper proposes a method to recoup a shadow recovered image. The method involves the detection of shadow which also includes morphological filtering to rule out the ambiguities and then eliminating the detected shadow. This paper adopts Gamma correction technique for shadow removal. The experimental results verify the efficiency of this method by comparing it with two other methods. The parameter Structural Similarity Index Metric is also used to gauge the accuracy of the three methods.