Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837007(2024)

Depth Image Super-Resolution Reconstruction Network Based on Dual Feature Fusion Guidance

Haowen Geng, Yu Wang*, and Yanling Xin
Author Affiliations
  • College of Information Science and Engineering, Changchun University of Science and Technology, Changchun 130012, Jilin , China
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    References(18)

    [1] Yang Y L, Li J Y, Wang Y et al. Research on depth image repair algorithm based on improved bilateral filter[J]. Laser & Optoelectronics Progress, 57, 161020(2020).

    [2] Diebel J, Thrun S. An application of Markov random fields to range sensing[C], 291-298(2005).

    [3] Ferstl D, Reinbacher C, Ranftl R et al. Image guided depth upsampling using anisotropic total generalized variation[C], 993-1000(2014).

    [4] Liu W, Chen X G, Yang J et al. Robust color guided depth map restoration[J]. IEEE Transactions on Image Processing, 26, 315-327(2017).

    [5] Xu J, Yuan S N. Image super-resolution reconstruction algorithm based on enhanced multi-scale residual network[J]. Laser & Optoelectronics Progress, 60, 0411002(2023).

    [6] Hui T W, Loy C C, Tang X, Leibe B, Matas J, Sebe N et al. Depth map super-resolution by deep multi-scale guidance[M]. Computer vision-ECCV 2016. Lecture notes in computer science, 9907, 353-369(2016).

    [7] Guo C L, Li C Y, Guo J C et al. Hierarchical features driven residual learning for depth map super-resolution[J]. IEEE Transactions on Image Processing, 28, 2545-2557(2018).

    [8] Yu S X, Hu L M, Zhang X D et al. Color image multi-scale guided depth image super-resolution reconstruction[J]. Opto-Electronic Engineering, 47, 42-51(2020).

    [9] Zhao Z X, Zhang J S, Xu S et al. Discrete cosine transform network for guided depth map super-resolution[C], 5687-5697(2022).

    [10] Ido A, Israel C. Depth map super-resolution via cascaded transformers guidance[J]. Frontiers in Signal Processing, 2, 1-12(2022).

    [11] Cui Y J, Liao Q M, Yang W M et al. RGB guided depth map super-resolution with coupled U-net[C](2021).

    [12] Huang Y J, Xu H X. Fully convolutional network with attention modules for semantic segmentation[J]. Signal, Image and Video Processing, 15, 1031-1039(2021).

    [13] Sun R, Sun X B, Liu X et al. Polarimetric imaging target classification method based on attention mechanism[J]. Acta Optica Sinica, 41, 1611004(2021).

    [14] Yeo Y J, Sagong M C, Shin Y G et al. Simple yet effective way for improving the performance of depth map super-resolution[J]. Signal Processing Letters, 27, 2099-2103(2020).

    [15] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

    [16] Kopf J, Cohen M F, Lischinski D et al. Joint bilateral upsampling[J]. ACM Transactions on Graphics, 26, 96-es(2007).

    [17] Kim B, Ponce J, Ham B. Deformable kernel networks for joint image filtering[J]. International Journal of Computer Vision, 129, 579-600(2021).

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    Haowen Geng, Yu Wang, Yanling Xin. Depth Image Super-Resolution Reconstruction Network Based on Dual Feature Fusion Guidance[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837007

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    Paper Information

    Category: Digital Image Processing

    Received: Feb. 8, 2023

    Accepted: Apr. 3, 2023

    Published Online: Apr. 2, 2024

    The Author Email: Wang Yu (muxie2002@126.com)

    DOI:10.3788/LOP230593

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