Electronics Optics & Control, Volume. 32, Issue 7, 72(2025)

An Image Dehazing Algorithm Based on Superpixel Segmentation and Transmittance Correction

QIAO Yiyang, ZHANG Yingying, and YU Ping
Author Affiliations
  • School of Mathematics and Computer Science,Jilin Normal University,Siping 136000,China
  • show less

    In order to address the issues of low brightness and halo in bright areas in images processed by the dark channel prior algorithm,an improved dehazing algorithm based on improved superpixel segmentation is proposed.Firstly,the traditional dark channel window is replaced by a superpixel segmentation window,and the image transmittance is preliminarily improved by combining adaptive superpixel blocks with dual window fitting.Then,the transmittance of the bright area in the image is exponentially corrected separately,and then weighted and fused with the initial transmittance to further improve the transmittance of the bright area.Trapezoidal low-pass filtering is used to smooth and denoise the improved dark channel,and quadtree subdivision is performed on the smoothed dark channel to obtain more accurate atmospheric light.The experimental results show that the algorithm effectively improves the defects of the dark channel prior algorithm in restoring bright areas of images,repairs halo artifacts,and achieves good dehazing effects.

    Tools

    Get Citation

    Copy Citation Text

    QIAO Yiyang, ZHANG Yingying, YU Ping. An Image Dehazing Algorithm Based on Superpixel Segmentation and Transmittance Correction[J]. Electronics Optics & Control, 2025, 32(7): 72

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 17, 2024

    Accepted: Jul. 11, 2025

    Published Online: Jul. 11, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.07.012

    Topics