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WENO based adaptive image zooming algorithm

Author

Listed:
  • Crnković, Bojan
  • Škifić, Jerko
  • Bosner, Tina

Abstract

Zooming or upsampling images is a common technique and an essential step in many image processing algorithms. This process introduces new information that can lead to numerical effects such as ringing artifacts, aliasing effects and blurring of the image. In this paper, we propose a polynomial interpolation algorithm based on the WENO algorithm for upsampling images, which provides high accuracy in smooth regions, preserves edges and reduces aliasing effects. Although this is not the first application of WENO interpolation for image resampling, it is designed to have comparable complexity and memory load with better image quality than the separable WENO algorithm.

Suggested Citation

  • Crnković, Bojan & Škifić, Jerko & Bosner, Tina, 2025. "WENO based adaptive image zooming algorithm," Applied Mathematics and Computation, Elsevier, vol. 492(C).
    • Handle: RePEc:eee:apmaco:v:492:y:2025:i:c:s0096300324006891
    DOI: 10.1016/j.amc.2024.129228
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    References listed on IDEAS

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    1. Lee, Yeon Ju & Yoon, Jungho, 2015. "Image zooming method using edge-directed moving least squares interpolation based on exponential polynomials," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 569-583.
    2. Amat, Sergio & Ruiz-Álvarez, Juan & Shu, Chi-Wang & Yáñez, Dionisio F., 2021. "Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing," Applied Mathematics and Computation, Elsevier, vol. 403(C).
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