A simplified shadow removal approach by using interim results of transformed domain GMM foreground segmentation has been developed. The approach is based on the fact that the spatial frequency distribution does not change from the backgrounds in the shadow areas. Due to employing gray level picture processing and to utilizing only low frequency components in the transform domain, the resultant shadow removal approach drastically reduces the amount of processing, compared to conventional shadow removal approaches based on pixel based color component processing.
['Kazuki Nakagami', 'Toshiaki Shiota', 'Takao Nishitani']
Low complexity shadow removal on foreground segmentation