Research Article
Research on Debounce Method of Electronic Imaging Equipment Based on Feature Point Matching
@INPROCEEDINGS{10.1007/978-3-030-94185-7_37, author={Xiao-jing Qi}, title={Research on Debounce Method of Electronic Imaging Equipment Based on Feature Point Matching}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Feature point matching Electronic imaging equipment Debounce Image feature points}, doi={10.1007/978-3-030-94185-7_37} }- Xiao-jing Qi
Year: 2022
Research on Debounce Method of Electronic Imaging Equipment Based on Feature Point Matching
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_37
Abstract
Aiming at the problem of image generation blur in existing electronic imaging equipment de-shake methods, this paper proposes a method of electronic imaging equipment de-shake based on feature point matching. First, perform feature point matching on the motion path of the electronic imaging device, obtain the motion characteristics of the device using constraint conditions, and implement the motion path feature matching processing of the electronic imaging device in combination with the matching feature window. Secondly, use the two-dimensional spatial relationship of the image to perform rotation, translation, and zoom processing on the resulting image. Based on the electronic imaging equipment operating model, the six-parameter radiation method is used for motion estimation, and the motion curve characteristics are determined and modified according to the base function synthesis curve. The optimized processing of the estimated value then obtains the de-shake result of the electronic imaging device. The experimental results show that the PSNR value is about 72.64 dB and the MSE value is about 12.54 when the method in this paper is used for de-jitter processing, both of which are better than the traditional method. It can be seen that this method has a better de-jitter effect.
