Research Article
Image Watermark Removal Method of Classroom Teaching Recording and Broadcasting System Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-21161-4_35, author={Yan Chao and Chen Chen}, title={Image Watermark Removal Method of Classroom Teaching Recording and Broadcasting System Based on Deep Learning}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Deep learning Classroom teaching recording and broadcasting system image Watermark removal Wavelet function Correcting Detail characterization}, doi={10.1007/978-3-031-21161-4_35} }- Yan Chao
Chen Chen
Year: 2023
Image Watermark Removal Method of Classroom Teaching Recording and Broadcasting System Based on Deep Learning
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_35
Abstract
In order to improve the image watermark efficiency of the classroom teaching recording and broadcasting system, a method for removing the image watermark of the classroom teaching recording and broadcasting system was designed based on deep learning. For image denoising and correction processing, use the color palette to adjust the processing color to obtain the image correction effect; use the median value of all pixels around the neighborhood pixels to replace the pixel value of the current pixel point to perform image filtering processing; then the classroom teaching recording and broadcasting system Image detail similarity calculation, according to the calculation results to characterize the details of the image spatial structure information, and realize the image watermark removal of the classroom teaching recording and broadcasting system through deep learning. The research shows that the method designed this time can improve the accuracy of watermark removal and reduce the removal time.
