A Novel Image Enhancement Method Using Retinex-based Illumination Map Weighted Guided Filtering

Su Chen1 and Dahai Li2

  1. Department of Mechanical and Electrical Engineering, Henan Vocational College of Water Conservancy and Environment
    Zhengzhou 450002, China
    chensssu@163.com
  2. School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology
    Zhengzhou 450064, China
    ldadahai@163.com

Abstract

Halo artifact, edge detail loss and noise amplification are the main problems in low illumination image enhancement, an image enhancement algorithm combining Retinex and illumination map weighted guided filtering is proposed. The traditional defogging physical models only enhance the images based on dark channels prior, resulting in different depths of field in local areas, and it can lead to some problems such as image overexposure and halo artifacts. To solve this problem, the method of combining light and dark channels is adopted to calculate the atmospheric light value and transmittance. For the problem that edge information is easily lost, the illumination gradient domain weighted guided filtering is utilized to improve the thinning transmittance. Experimental results with the proposed method have obvious improvement in denoising, halo elimination, brightness adjustment and edge preservation in the low-illumination image under different conditions.

Key words

Image enhancement, Retinex, weighted guided filtering, dark channel

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS240314056C

Publication information

Volume 21, Issue 4 (September 2024)
Year of Publication: 2024
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Chen, S., Li, D.: A Novel Image Enhancement Method Using Retinex-based Illumination Map Weighted Guided Filtering. Computer Science and Information Systems, Vol. 21, No. 4, 1745–1764. (2024), https://doi.org/10.2298/CSIS240314056C