Advanced Data Analysis and Feature Extraction Technology in Image Repair

With the wide application of image repair, the application of feature extraction technology in image repair has also attracted attention. Therefore, this paper carries out in-depth research on the application of feature extraction technology in image repair with the fusion of advanced data analysis and optimization method. First, the feature extraction algorithm is introduced, and the initial model and the feature extraction are implemented in the image repair. Then, the advanced data analysis and optimization method is adopted to design the feature extraction technology in image repair, construct the feature extraction technology model in image repair, and complete the feature extraction technology in image repair. Simulation experiment results show that the fusion advanced data analysis optimization method of image repair application feature extraction technology accuracy improved significantly, and image repair in the stability of feature extraction technology effect is better, can effectively solve the current image repair application feature extraction technology of low accuracy and low success rate, has certain practical value.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ichora65333.2025.11017084
Citations
1
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.14
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article

Advanced Data Analysis and Feature Extraction Technology in Image Repair

Xinyi Lin
1 citations
Image Processing Techniques and Applications
1.14
article

Advanced Data Analysis and Feature Extraction Technology in Image Repair

Xinyi Lin
article en
1 citations

Abstract

With the wide application of image repair, the application of feature extraction technology in image repair has also attracted attention. Therefore, this paper carries out in-depth research on the application of feature extraction technology in image repair with the fusion of advanced data analysis and optimization method. First, the feature extraction algorithm is introduced, and the initial model and the feature extraction are implemented in the image repair. Then, the advanced data analysis and optimization method is adopted to design the feature extraction technology in image repair, construct the feature extraction technology model in image repair, and complete the feature extraction technology in image repair. Simulation experiment results show that the fusion advanced data analysis optimization method of image repair application feature extraction technology accuracy improved significantly, and image repair in the stability of feature extraction technology effect is better, can effectively solve the current image repair application feature extraction technology of low accuracy and low success rate, has certain practical value.

Minzu University of China (CN)
Openalex Percentile: Top 19%
Image Processing Techniques and Applications
1.14
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Advanced Data Analysis and Feature Extraction Technology in Image Repair — Xinyi Lin · (2025) | TGRS Research Map | TGRS