A Polarization-Based Method for Maritime Image Dehazing
Source abstract
Abstract
The accurate identification of target imagery in the presence of sea fog is essential for the precise detection and comprehension of targets situated at sea. To overcome the issues encountered when applying traditional polarimetric dehazing methods to sea fog imagery, this paper proposes an improved polarimetric dehazing method. Initially, the methodology employs quartile-based selection on polarization difference images to ascertain atmospheric light at an infinite distance. Subsequently, the study describes a segmentation approach for sea–sky background images based on the degree of polarization. The results show that the image information entropy of the segmentation process improves by more than 6% compared to that of alternative methodologies, and the local contrast of the image is increased by more than 30% compared to that of the original foggy image. These outcomes confirm the effectiveness of the proposed dehazing methodology in addressing the challenges associated with sea fog imagery.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Oil Spill Detection and Mitigation · Image Enhancement Techniques · Ocean Waves and Remote Sensing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Navigation College, Dalian Maritime University, Dalian 116026, China
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Dong Nanhu Road 3888, Changchun 130033, China
References (31)
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