skip to main content
10.1145/3631991.3632038acmotherconferencesArticle/Chapter ViewAbstractPublication PageswsseConference Proceedingsconference-collections
research-article

Structure-Preserving Image Smoothing using Adaptive Bilateral Filter

Authors Info & Claims
Published:26 December 2023Publication History

ABSTRACT

Structure-preserving image smoothing is an important image processing problem that plays significant role in many applications of image processing and computer vision such as detail enhancement, edge detection, tone mapping, image segmentation, and image abstraction. We suggest a structure-aware bilateral filter to accomplish smoothing on an image without altering the salient structure information. The main contribution of the proposed work is the designing of the scale map, which has been used to choose the size of the spatial kernel at each pixel in accordance with the structure information. The aim behind using the scale map is to perform filtering on the homogeneous and texture regions while preventing filtering on the prominent structure regions. The proposed method has excellent structure-preserving and texture removal properties. The qualitative and quantitative analysis of the experimental results has shown the outperformance of the proposed method over the existing state-of-the-art methods.

References

  1. L.I. Rudin, S. Osher, and E. Fatemi. 1992. Nonlinear total variation based noise removal algorithms. Phys. D, Nonlinear Phenom, 60, 1-4.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Y. Meyer. 2001. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations. In the Fifteenth Dean Jacqueline B. Lewis Memorial Lecture, American Mathematical Soc .Google ScholarGoogle Scholar
  3. L. Xu, C. Lu, Y. Xu, and J. Jia. 2011. Image smoothing via L0 gradient minimization. In Proc. of the 2011 SIGGRAPH Asia Conference, 1-12.Google ScholarGoogle Scholar
  4. S. Ono. 2017. L0 gradient projection. IEEE Trans. Image Process, 26, 1554-1564.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. L. Xu, Q. Yan, Y. Xia, and J. Jia. 2012. Structure extraction from texture via relative total variation. ACM Trans. Graph, 31, 1-10.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. Ruhela, B. Gupta, and S.L. Singh. 2022. A new non-convex low rank minimization model to decompose an image into cartoon and texture components. Comput. Math. Appl, 123, 1-12.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. J. Xu, W. Shang, and Y. Hao. 2022. A new cartoon + texture image decomposition model based on the Sobolev space. Signal Image and Video Processing, 16, 1569-1576.Google ScholarGoogle ScholarCross RefCross Ref
  8. P. Perona, and J. Malik.1990. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12, 629-639.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M.J. Black, G. Sapiro, D.H. Marimont, and D. Heeger. 1998. Robust anisotropic diffusion. IEEE Trans. Image Process.,7, 421–432.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. S. Tebini, Z. Mbarki, H. Seddik, and E.B. Braiek. 2016. Rapid and efficient image restoration technique based on new adaptive anisotropic diffusion function. Digit. Signal Process, 48, 201–215.Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Tebini, H. Seddik, and E.B. Braiek. 2016. An advanced and adaptive mathematical function for an efficient anisotropic image filtering. Comput. Math. Appl, 72, 1369–1385.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Riya, B. Gupta, and S.L. Singh. 2021. An efficient anisotropic diffusion model for image denoising with edge preservation. Comput. Math. Appl, 93, 106–119.Google ScholarGoogle ScholarCross RefCross Ref
  13. C. Tomasi, and R. Manduchi. 1998. Bilateral filtering for gray and color images. In Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271), IEEE, 839–846.Google ScholarGoogle Scholar
  14. H.Cho, H. Lee, H. Kang, and S. Lee. 2014. Bilateral texture filtering. ACM Trans. Graph. (TOG), 33, 1-8.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. R. Ruhela, B. Gupta, and S.L. Singh. 2022. An efficient approach for texture smoothing by adaptive joint bilateral filtering. The Visual computer, 1-5.Google ScholarGoogle Scholar
  16. S.Ghosh, R. Gavaskar, D.Panda, andK. N. Chaudhury. 2019. Fast scale-adaptive bilateral texture smoothing. IEEE Transactions on Circuits and Systems for Video Technology, 30, 2015–2026.Google ScholarGoogle Scholar
  17. R. Ruhela, B. Gupta, S.S. Lamba. 2022. Structure-aware adaptive bilateral texture filtering. Digital Signal Process.123, 103–386.Google ScholarGoogle Scholar
  18. S.Paris, S.W. Hasinoff, and J. Kautz. 2011. Local Laplacian filters: edge aware image processing with a Laplacian pyramid. ACM Trans.Graph, 30, 68.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. H. Du, X. Jin, and P.J. Willis. 2016. Two-level joint local Laplacian texture filtering. Vis. Comput. 32, 1537-1548.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. K.He, J. Sun, and X. Tang. 2010. Guided image filtering. In European Conference on Computer Vision Springer, 1–14.Google ScholarGoogle Scholar
  21. Kim, Y., Ham, B., Do, M.N., Sohn, K. 2018. Structure-texture image decomposition using deep variational priors. IEEE Trans. ImageProcess, 28, 2692-2704.Google ScholarGoogle Scholar
  22. X. Gao, X. Wu, P. Xu, S. Guo, M. Liao, and W. Wang. 2020. Semi supervised texture filtering with shallow to deep understanding. IEEE Trans. Image Process, 29, 7537-7548.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Y. Cui, Y. An, W. Sun, H. Hu, and X. Song. 2021. Multiscale adaptive edge detector for images based on a novel standard deviation map. IEEE Trans. On Instru. And Measure, 70, 5010913.Google ScholarGoogle ScholarCross RefCross Ref
  24. J. Canny. 1986. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698.Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Structure-Preserving Image Smoothing using Adaptive Bilateral Filter
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        WSSE '23: Proceedings of the 2023 5th World Symposium on Software Engineering
        September 2023
        352 pages
        ISBN:9798400708053
        DOI:10.1145/3631991

        Copyright © 2023 ACM

        Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 26 December 2023

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited
      • Article Metrics

        • Downloads (Last 12 months)17
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format .

      View HTML Format