Transforming a Night Video into Day Video using Fusion and Color Enhancement

When a video is captured during nighttime or under dim light then it is difficult to monitor and identify the objects in that video. Hence enhancement of video surveillance system is needed for security purposes. The proposed method uses robust fuzzy C means clustering algorithm for fusion of night image with day reference image, and applies color transfer methods such as retinex with wavelet transform to get clarity of objects for human visual perception. The effectiveness of proposed method is shown with the practical results.