Title: Research on image layered defogging algorithm based on transmittance optimisation

Authors: Zhang Xiaoli; Jin Duan; Yao Wang

Addresses: Engineering Institute, Jilin Business and Technology College, Changchun, Jilin, China ' Engineering Institute, Jilin Business and Technology College, Changchun, Jilin, China ' Engineering Institute, Jilin Business and Technology College, Changchun, Jilin, China

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.

Keywords: image defogging; structural layer; texture layer; transmissivity.

DOI: 10.1504/IJWMC.2026.151590

International Journal of Wireless and Mobile Computing, 2026 Vol.30 No.2, pp.113 - 118

Received: 21 Sep 2023
Accepted: 09 Sep 2024
Published online: 09 Feb 2026 *

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