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Technology of Graphic & Image
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3851-3858

Tile image inpainting based on high-order texture and structural feature interaction

Hu Tao
Liu Shiping
Wang Hao
Cheng Pengfei
Meng Qinglei
Xin Yuankang
School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract

Aiming at the problem of increasing image texture disorder and edge structure blurring and loss during the inpainting process of tile component images in Chinese historical buildings, this paper proposed a generative adversarial tile image inpainting method based on the interaction of high-order texture and structural features. Firstly, the method used an encoderdecoder as the basic architecture to encode and decode texture and structure features of the damaged image and its structure image. Secondly, this paper designed the recursive partial convolutional layer in the encoder and decoder to enhance the interaction between the high-order and low-order features of the image, and to improve the model's ability of characterizing the texture and structural details of the tile image. Finally, this paper designed the feature fusion layer to realize the information fusion and detail enhancement of texture and structure feature maps. For typical tile components, this paper constructed a tile image dataset containing image type, pattern type and text type. This paper carried out experimental validation on the constructed dataset, and the experimental results show that the proposed method in this paper exhibits more excellent inpainting results in terms of both subjective feeling and objective evaluation indexes compared with commonly used algorithms.

Foundation Support

国家重点研发计划资助项目(2023YFC3806603,2022YFC3802201)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.03.0086
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 12
Section: Technology of Graphic & Image
Pages: 3851-3858
Serial Number: 1001-3695(2024)12-044-3851-08

Publish History

[2024-12-05] Printed Article

Cite This Article

胡涛, 刘世平, 汪昊, 等. 基于高阶纹理与结构特征交互的瓦当图像修复 [J]. 计算机应用研究, 2024, 41 (12): 3851-3858. (Hu Tao, Liu Shiping, Wang Hao, et al. Tile image inpainting based on high-order texture and structural feature interaction [J]. Application Research of Computers, 2024, 41 (12): 3851-3858. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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