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- W4312846685 abstract "Based on the existing research results and the application of digital image automatic reconstruction technology in the design, a real-time tracking simulation of multi-frame film and television image features based on digital image reconstruction is proposed, which achieves high system performance. Digital image processing technology has increasingly penetrated into our daily life, scientific research and social production. Real time tracking of multi-frame film and television image features can enhance the stability of film and television post-processing and improve the overall texture of film and television pictures. In view of the limitation of modeling conditions and the existence of incomplete or damaged images in the visual perception reconstruction of three-dimensional images in digital image processing, a multi-frame film and television image feature real-time tracking system based on digital image processing is designed. The depth camera and image processor suitable for visual communication technology are selected, and the internal parameters are set and referenced into the original system hardware. The digital image reconstruction module can realize the automatic reconstruction of digital image through digital image automatic reconstruction technology. The radiation transform is used to normalize each frame of film and television image, and the depth denoiser is used to extract the features of the normalized film and television image. Based on digital image reconstruction, this paper studies the real-time tracking simulation of multi-frame film and television image features. It is found that the design of digital image reconstruction can promote the development of multi-frame film and television image field." @default.
- W4312846685 created "2023-01-05" @default.
- W4312846685 creator A5075616114 @default.
- W4312846685 date "2022-07-01" @default.
- W4312846685 modified "2023-09-23" @default.
- W4312846685 title "Real Time Tracking Simulation of Multi-frame Film and Television Image Features Based on Digital Image Reconstruction" @default.
- W4312846685 doi "https://doi.org/10.1109/aiars57204.2022.00079" @default.
- W4312846685 hasPublicationYear "2022" @default.
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