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Image and Graphics Technologies and Applications

19th Chinese Conference, IGTA 2024, Beijing, China, August 16–18, 2024, Revised Selected Papers

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Yongtian Wang

    1. Beijing Institute of Technology, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  2. Hua Huang

    1. Beijing Normal University, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2302)

Included in the following conference series:

Conference proceedings info: IGTA 2024.

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About this book

This book constitutes the refereed proceedings of the 19th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2024, held in Beijing, China, during August 16–18, 2024.

The 36 full papers included in this book were carefully reviewed and selected from 91 submissions. The papers focus on image processing, computer graphics, and related topics, including but not limited to image analysis and understanding, computer vision and pattern recognition, data mining, virtual reality and augmented reality, and image technology applications.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Remote Sensing Scene Classification Method Based on Multi-scale Local Attention Network

    • Yi Miao, JunJie Wang, MengMeng Zhang, XiaoMing Xie, Wei Li
    Pages 1-15

  3. An Iterative Method for Single Image Stripe Nonuniformity Correction

    • Gaojin Wen, Hongmin Wang, Yun Xu, Linpeng Li, Zhikai Wang, Ziwei Zhou et al.
    Pages 16-27

  4. Optimized Recognition and Depth Estimation for Fruit Picking Robots

    • Jiancheng Liu, Tianle Jin, Jiaolai Wen
    Pages 28-43

  5. BM3D-UGanNet: A Hybrid Deep Learning Network for Low-Light Thangka Image Enhancement

    • Quanhong Peng, Dan Zhang, Mingquan Zhou, Jianpeng Zhang, Meihua Song, Ning Wang et al.
    Pages 44-55

  6. Stagewise Positional Encoding for Implicit Neural Representation of Image

    • Chengyang Yan, Linsen Chen, Qiu Shen
    Pages 56-67

  7. Image Enhancement Based on a Diffusion Model Guided by No-Reference Image Quality Assessment

    • Keqing Zhang, Lifang Wu
    Pages 68-80

  8. Adaptive Pixel Pair Generation Strategy for Image Matting Methods Based on Pixel Pair Optimization

    • Jiamin Zheng, Wen Wen, Yihui Liang, Fujian Feng, Xiang Xu
    Pages 81-94

  9. EdgCNN: Thangka Line Drawing Extraction Based on CNN

    • Meihua Song, Dan Zhang, Jianpeng Zhang, Ning Wang, Quanhong Peng, Chenhao Xu
    Pages 95-104

  10. Fire Detection Based on Flame Enhancement for Weak Fires

    • Kuan Chen, Wen Wen, Fujian Feng, Xiang Xu, Yihui Liang
    Pages 105-117

  11. HDR-TDC: High Dynamic Range Imaging with Transformer Deformable Convolution

    • Shuaikang Shang, Xuejing Kang
    Pages 118-132

  12. Enhancing Fine-Tuning Performance of Text-to-Image Diffusion Models for Few-Shot Image Generation Through Contrastive Learning

    • Yan-Lin Zhu, Peipei Yang
    Pages 133-147

  13. Generalized Diffusion Models for Non-gaussian Noise

    • Tianqian Zhou, Chun Fang, Xiaozhu Lin
    Pages 148-153

  14. Phase Error Correction Algorithm Based on Complementary Gray Code and Reverse Error Compensation

    • Pengjie Zhang, Bin Kong, Shaoping Wang
    Pages 154-164

  15. Defect Detection Based on Normalized Attention Mechanism and Multi-level Feature Fusion

    • Yiyan Chen, Zexin Zheng, Jialin Tang, Wanyu Feng, Honghui Lin, Lin Shounan
    Pages 165-176

  16. Study on Different Apple Ripeness Detection Based on Improved YOLOv5

    • YuluCai, Fangchu Wanghan, Anping Shen, Weizheng Kong, Qianzhe Zhang
    Pages 177-188

  17. Learning Features by Minimizing the Interframe Differences

    • Dong Zhao, Dan Zhang
    Pages 189-202

  18. VTR-Former: Vision Token Rolling Transformer for Weakly Supervised Temporal Text Localization

    • Zeyu Xi, Xinlang Zhou, Zilin Liu, Lifang Wu
    Pages 203-217

  19. CMME-YOLO: Composite Microscale Multi-stream Enhanced Model for PCB Defect Detection

    • Zhihua Xie, Xiaowei Zou, Zhiwu Zhou
    Pages 218-232

  20. Multi-behavior Recommendation with Hypergraph Contrastive Learning

    • Bing Yang, Xiaolei Guo, Litao Shang, Zhigang Zhang, Yanxian Bi, Xiaopeng Gu
    Pages 233-246
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Other volumes

  1. Image and Graphics Technologies and Applications

Editors and Affiliations

  • Beijing Institute of Technology, Beijing, China

    Yongtian Wang

  • Beijing Normal University, Beijing, China

    Hua Huang

Bibliographic Information

  • Book Title: Image and Graphics Technologies and Applications

  • Book Subtitle: 19th Chinese Conference, IGTA 2024, Beijing, China, August 16–18, 2024, Revised Selected Papers

  • Editors: Yongtian Wang, Hua Huang

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-981-97-9919-0

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025

  • Softcover ISBN: 978-981-97-9918-3Published: 22 December 2024

  • eBook ISBN: 978-981-97-9919-0Published: 21 December 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIII, 402

  • Number of Illustrations: 19 b/w illustrations, 159 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Pattern Recognition, Computer Applications

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