One of the main challenging issues in video analysis is the recovery of the original video frames from the annotated and text marked in the guided user interface (GUI) tool, particularly in cases where the original video is not available. Removing annotation from video frames is essential for any kind of algorithm development, such as noise removal, dehazing, object detection, recognition, identification in the video and tracking specific objects in the maritime environment, and further testing process. In this research work, we developed the algorithm for the removal of all annotations from any portion of the video frame, without affecting the integrity of the original video content. Here, we present a novel technique to remove unnecessary annotations and markers using a progressive switching median filter with wavelet thresholding. Experimental studies have shown that the annotation-free images generated from the proposed method can be used for the development of any basic algorithm.
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