Text removal method combining text location and image inpainting

Zheng Yan; Jinxun Lin; Zhifeng Zhao; Guodong Chen

doi:10.1117/12.2680977

8 June 2023 Text removal method combining text location and image inpainting

Zheng Yan, Jinxun Lin, Zhifeng Zhao, Guodong Chen

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127071O (2023) https://doi.org/10.1117/12.2680977
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

In view of the text in image or video on the visual interference and privacy issues, a text removal method combining text location and image inpainting is proposed. Firstly, the method inputs the image with text into the text location network to identify the text contour area, and then generates the masked image to simulate image damage part according to the text contour area. Finally, the damaged image is repaired through the damage reconstruction network to realize text removal. At the same time, in order to ensure the reliability of the text removal, the complementary fusion layer is proposed to ensure the non-text area in image do not change. The experimental results show that compared with the traditional texture and patch repair algorithm our method has a better repair effect. Compared with the improved generative adversarial network method, our method is more close to the original image features.

Citation Download Citation

Zheng Yan, Jinxun Lin, Zhifeng Zhao, and Guodong Chen "Text removal method combining text location and image inpainting", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127071O (8 June 2023); https://doi.org/10.1117/12.2680977

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KEYWORDS

Image restoration

Image fusion

Education and training

Image processing

Reconstruction algorithms

Gallium nitride

Contour modeling

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