Laser & Optoelectronics Progress, Volume. 56, Issue 23, 231005(2019)

BSCB Image Inpainting Algorithm Based on Rough Data Deduction

Zhaozhao Zhu, Ning Zhou*, Yong Chen, and Xiaogang Wang
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • show less
    Figures & Tables(8)
    Schematic of damaged area
    9 pixel×9 pixel neighborhood schematic of central pixel of edge of image area to be repaired
    Schematic of rough deduction of image data
    Inpainting effect of art image . (a) Original damaged image; (b) mask image; (c) inpainting result by BSCB model; (d) inpainting result by rough data deduction
    Inpainting effect of damaged old photo. (a) Original damaged image; (b) mask image; (c) inpainting result by BSCB model; (d) inpainting result by rough data deduction
    Inpainting effect of scratched image. (a) Original damaged image; (b) mask image; (c) inpainting results by BSCB model; (d) inpainting result by rough data deduction
    Removal effect of text in image. (a) Original image with text; (b) mask image; (c) inpainting results of BSCB model; (d) inpainting result by rough data deduction
    Comparison of peak signal-to-noise ratios after image inpainting
    Tools

    Get Citation

    Copy Citation Text

    Zhaozhao Zhu, Ning Zhou, Yong Chen, Xiaogang Wang. BSCB Image Inpainting Algorithm Based on Rough Data Deduction[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231005

    Download Citation

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

    Category: Image Processing

    Received: Apr. 28, 2019

    Accepted: May. 27, 2019

    Published Online: Nov. 27, 2019

    The Author Email: Ning Zhou (zhouning@mail.lzjtu.cn)

    DOI:10.3788/LOP56.231005

    Topics