mlsanityData to 7 Oct 2026

Quarter Laplacian Filter for Edge Aware Image Processing

arXiv 2101.07933 ↗First posted 20 Jan 2021eess.IV cs.CV eess.SPcited by 9

Not on the map. Why?

Abstract (arXiv)

This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is 2×2, which is smaller than the 3×3 support region of Laplacian filter. Thus, it is more local. Moreover, this filter can be implemented via the classical box filter, leading to high performance for real time applications. Finally, we show its edge preserving property in several image processing tasks, including image smoothing, texture enhancement, and low-light image enhancement. The proposed filter can be adopted in a wide range of image processing applications.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 20 Jan 2021.

Builds on

4 of 22 references.

References · 4

  1. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
  2. 2017Fast Image Processing with Fully-Convolutional Networkscited by 41
  3. 2019Side Window Filteringcited by 27
  4. 2019Weighted Mean Curvaturecited by 15

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Cited by year

Citing papers per year: 2023: 7; 2024: 2.

9 papers.