WENO based adaptive image zooming algorithm

Bojan Crnković, Jerko Škifić and Tina Bosner

Applied Mathematics and Computation, 2025, vol. 492, issue C

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.

Keywords: Image; Zooming; Resampling; Upsampling; Interpolation; Non-oscillatory; Nonlinear; WENO; Mesh refinement (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:492:y:2025:i:c:s0096300324006891

DOI: 10.1016/j.amc.2024.129228

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