SCIENCE@home

Color image dehazing enhancement based on wavelet transform

Shurui Wang

Published 2023 in 2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

ABSTRACT

Outdoor image acquisition is directly damaged by foggy weather, leading to image details being covered by fog, contrast and saturation being greatly reduced, and the difficulty of subsequent object recognition and image processing in the image being significantly increased. Due to the above reasons, it is proposed in this paper to use wavelet transform to de-fog the image. Firstly, histogram equalization is applied to images affected by fog in the RGB three-channel, followed by wavelet decomposition. The decomposed approximate value is subjected to the application of the Improved Retinex algorithm. At the same time, de-shadowing can be performed on the image to enhance the details and contrast that are obscured by fog. The images obtained after fog removal can more truly restore the authenticity of the scene and improve the visibility of human eyes. The results indicate that the algorithm can be employed for fog removal in pictures containing fog, showcasing a pronounced enhancement effect on images affected by fog.

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

  • Publication date

    2023-12-15

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.1109/AUTEEE60196.2023.10408531
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

CITED BY