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CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion

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Pattern Recognition and Computer Vision (PRCV 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14434))

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Abstract

Multi-focus image fusion aims to generate an all-in-focus image from multiple partially focused images of the same scene captured with different focal settings. In this paper, we present a coupled convolutional sparse representation (CCSR) model for multi-focus image fusion. Instead of being solved by an iterative thresholding algorithm, the proposed CCSR model is unfolded into a learnable neural network (termed as CCSR-Net) using the deep unfolding technique, taking the advantages of both traditional methods and deep-learning (DL)-based ones. Based on the CCSR-Net, a new multi-focus image fusion method with good interpretability is further proposed. Experimental results on two popular datasets show that the proposed method can obtain the state-of-the-art performance in terms of both visual quality and objective assessment.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grants 62176081, 62171176 and U23A20294

Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Hefei University of Technology, Hefei, 230009, China

    Kecheng Zheng, Juan Cheng & Yu Liu

Authors
  1. Kecheng Zheng
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  2. Juan Cheng
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  3. Yu Liu
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Corresponding author

Correspondence to Yu Liu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Qingshan Liu

  2. Xiamen University, Xiamen, China

    Hanzi Wang

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Zhanyu Ma

  4. Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  5. Peking University, Beijing, China

    Hongbin Zha

  6. Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  7. Chinese Academy of Sciences, Beijing, China

    Liang Wang

  8. Xiamen University, Xiamen, China

    Rongrong Ji

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Zheng, K., Cheng, J., Liu, Y. (2024). CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion. In: Liu, Q., et al. Pattern Recognition and Computer Vision. PRCV 2023. Lecture Notes in Computer Science, vol 14434. Springer, Singapore. https://doi.org/10.1007/978-981-99-8549-4_24

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  • DOI: https://doi.org/10.1007/978-981-99-8549-4_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8548-7

  • Online ISBN: 978-981-99-8549-4

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