A Review on Removal of Shadow from a Single Image

A frame work for detecting the shadow and removal of the shadow from a single image in the real world pictures. Till now the work on detecting the shadows had more effort for design of hand-craft features. Shadows distroits the image in computer pictures. For instance, the decrease of performance of objects recognition and object scene analysis. This shadow removal technique does not perform well on curved surfaces and in the case of highly non-uniform shadows. In the cases of shadows in dark environments, this method appears to increase the contrast of the recovered region. To address these issues proposed frame work learns the relevant features in such a manner through deep neural networks. Bayesian formulation accurately extracts shadow matte and remove shadows. The proposed method formulation is based on novel model which accurately models the shadow generation process in shadowed part and non-shadowed part. The proposed method improves the image quality on curved surfaces and visual quality of photographs and real world images.