Optics and Precision Engineering, Volume. 31, Issue 18, 2713(2023)

Uniform defocus blind deblurring based on deeper feature-based wiener deconvolution

Chengxi WANG1, Chen LUO2、*, Jianghao ZHOU2, Lang ZOU2, and Lei JIA3
Author Affiliations
  • 1School of Software Engineering, Southeast University, Suzhou2523, China
  • 2School of Mechanical Engineering, Southeast University, Nanjin11189, China
  • 3Wuxi shangshi-finevision Technology Co., Ltd, Wuxi200240, China
  • show less
    References(27)

    [1] KARAALI A, HARTE N, JUNG C R. Deep multi-scale feature learning for defocus blur estimation[J]. IEEE Transactions on Image Processing, 31, 1097-1106(2022).

    [2] MA H Y, LIU S J, LIAO Q M et al. Defocus image deblurring network with defocus map estimation as auxiliary task[J]. IEEE Transactions on Image Processing, 31, 216-226(2022).

    [3] [3] 杨昊元. 基于图像统计特征的可见光图像复原方法研究[D]. 北京: 中国科学院大学, 2021.YANGH Y. Visible Image Restoration Methods Based on Image Statistical Features[D]. Beijing: University of Chinese Academy of Sciences, 2021. (in Chinese)

    [4] CHEN M Q, QUAN Y H, PANG T Y et al. Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural network[J]. International Journal of Computer Vision, 130, 1770-1789(2022).

    [5] [5] 陈清江, 胡倩楠, 李金阳. 多尺度交替连接残差网络用于图像去模糊[J]. 光学 精密工程, 2021, 29(7): 1686-1694. doi: 10.37188/OPE.20212907.1686CHENQ J, HUQ N, LIJ Y. Image deblurring based on multi-scale alternating connection residual network[J]. Opt. Precision Eng., 2021, 29(7): 1686-1694. (in Chinese). doi: 10.37188/OPE.20212907.1686

    [6] HUO D, MASOUMZADEH A, YANG Y H. Blind non-uniform motion deblurring using atrous spatial pyramid deformable convolution and deblurring-reblurring consistency[C](2022).

    [7] [7] 杨航. 非盲图像复原综述[J]. 中国光学(中英文), 2022(5): 954-972. doi: 10.37188/co.2022-0099HANGY. Survey of non-blind image restoration[J]. Chinese Optics, 2022(5): 954-972.(in Chinese). doi: 10.37188/co.2022-0099

    [8] ZORAN D, WEISS Y. From learning models of natural image patches to whole image restoration[C], 479-486(6).

    [9] WONG K, LI F. Fast Parameter Estimation Using Greens Functions[M]. Advances in Neural Information Processing Systems 14(2001).

    [10] JOSHI N, LAWRENCE ZITNICK C, SZELISKI R et al. Image deblurring and denoising using color priors[C], 1550-1557(20).

    [11] PAN J S, HU Z, SU Z X et al. Deblurring text images via L0-regularized intensity and gradient Prior[C], 2901-2908(23).

    [12] [12] 闫敬文, 彭鸿, 刘蕾, 等. 基于L0正则化模糊核估计的遥感图像复原[J]. 光学 精密工程, 2014, 22(9): 2572-2579. doi: 10.3788/ope.20142209.2572YANJ W, PENGH, LIUL, et al. Remote sensing image restoration based on zero-norm regularized kernel estimation[J]. Opt. Precision Eng., 2014, 22(9): 2572-2579. (in Chinese). doi: 10.3788/ope.20142209.2572

    [13] [13] 曹学影, 王琳, 谭覃燕, 等. 自适应双刃边法模糊红外图像复原[J]. 光学 精密工程, 2022, 30(5): 630-640. doi: 10.37188/OPE.20223005.0620CAOX Y, WANGL, TANQ Y, et al. Restoration of blurred infrared image by adaptive double edge method[J]. Opt. Precision Eng., 2022, 30(5): 630-640. (in Chinese). doi: 10.37188/OPE.20223005.0620

    [14] TRAN P, TRAN A T, PHUNG Q et al. Explore image deblurring via encoded blur kernel space[C], 11951-11960(20).

    [15] KIM T H, LEE K M. Deep multi-scale convolutional neural network for dynamic scene deblurring[C], 257-265(21).

    [16] TAO X, GAO H Y, SHEN X Y et al. Scale-recurrent network for deep image deblurring[C], 8174-8182(18).

    [18] PAN L Y, HARTLEY R, LIU M M et al. Phase-only image based kernel estimation for single image blind deblurring[C], 6027-6036(15).

    [19] KAUFMAN A, FATTAL R. Deblurring using analysis-synthesis networks pair[J]. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 5810-5819(2020).

    [20] REN D W, ZHANG K, WANG Q L et al. Neural blind deconvolution using deep priors[C], 3338-3347(13).

    [21] LEMPITSKY V, VEDALDI A, ULYANOV D. Deep image prior[C], 9446-9454(18).

    [22] LUO Z W, HUANG H B, YU L et al. Deep constrained least squares for blind image super-resolution[C], 17621-17631(18).

    [24] AGUSTSSON E, TIMOFTE R. NTIRE 2017 challenge on single image super-resolution: dataset and study[C], 1122-1131(21).

    [25] GU J J, LU H N, ZUO W M et al. Blind super-resolution with iterative kernel correction[C], 1604-1613(15).

    [26] SETIADI D R I M. PSNR vs SSIM: imperceptibility quality assessment for image steganography[J]. Multimedia Tools and Applications, 80, 1-22(2020).

    CLP Journals

    [1] Deyan ZHU, Yongqi AO, Jiayi XU, Chengcheng LI, Yufan ZHANG. Real-time deblurring of wideband small target based on attention mechanism[J]. Optics and Precision Engineering, 2024, 32(23): 3479

    [2] Deyan ZHU, Yongqi AO, Jiayi XU, Chengcheng LI, Yufan ZHANG. Real-time deblurring of wideband small target based on attention mechanism[J]. Optics and Precision Engineering, 2024, 32(23): 3479

    Tools

    Get Citation

    Copy Citation Text

    Chengxi WANG, Chen LUO, Jianghao ZHOU, Lang ZOU, Lei JIA. Uniform defocus blind deblurring based on deeper feature-based wiener deconvolution[J]. Optics and Precision Engineering, 2023, 31(18): 2713

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Nov. 21, 2022

    Accepted: --

    Published Online: Oct. 12, 2023

    The Author Email: Chen LUO (chenluo@seu.edu.cn)

    DOI:10.37188/OPE.20233118.2713

    Topics