Research on image layered defogging algorithm based on transmittance optimisation

View at publisher
Authors: Zhang Xiaoli, Jin Duan, Yao Wang
Cited by: 0

Abstract

In the process of image dehazing, in order to improve the loss of texture details and boundary blurring caused by traditional dark channel prior dehazing algorithms after dehazing, and to avoid mutual interference caused by simultaneous processing of image structure and texture, this article proposes to layer the structure and texture of foggy images, and then optimise the algorithm separately for the defects of traditional dehazing algorithms in the structure layer and texture layer dehazing process. Finally, the optimised texture layer and structure layer are recombined to obtain a dehazed image. The experimental results show that the hierarchical optimisation algorithm can preserve the fine texture parts of foggy images, and the edge structure of the scene is clear after dehazing, without distortion in the sky area. The method proposed in this paper is effective.

Fields of Study & Subjects

Image Enhancement Techniques Image Processing Techniques and Applications Advanced Image Processing Techniques

Publication details

Journal / source
International Journal of Wireless and Mobile Computing
Volume
30
Issue
2
Pages
113–118
Publication date
1 January 2026
Language
EN