Fusion detail enhanced visual detection image defogging processing method and system

By analyzing visual feature partitioning and fog occlusion indices, and combining partition detection detail coefficients for adaptive dehazing, this method solves the problem of difficulty in coordinating detail enhancement and dehazing intensity in image dehazing methods, achieving accurate and uniform dehazing effects and reliable target detection.

CN122199985APending Publication Date: 2026-06-12SHENZHEN YUEFEIYANG TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN YUEFEIYANG TECH CO LTD
Filing Date
2026-03-18
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing image dehazing methods struggle to coordinate detail enhancement with dehazing intensity, leading to issues such as abrupt boundary changes and mismatch between fog area processing and detection targets in partitioned dehazing.

Method used

Visual feature partitioning is performed based on the detection target, partition detection features and partition detection detail coefficients are obtained, fog occlusion partitions are established through fog occlusion index analysis, and partition detection detail coefficients are used for mapping to identify the defogging sensitivity constraints of each partition and perform adaptive defogging processing.

Benefits of technology

It achieves accurate, uniform, and boundary-free dehazing, improving the visual quality of hazy images and the reliability of target detection.

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Abstract

The application discloses a fusion detail enhancement visual detection image defogging processing method and system, relates to the technical field of image defogging processing, and comprises the following steps: obtaining a partition detection feature and a partition detection detail coefficient; obtaining a fog-containing detection image, establishing a fog-shielding partition according to a fog-shielding index; mapping the fog-shielding partition, and identifying a defogging-sensitive constraint of each partition; and performing adaptive defogging processing on the fog-containing detection image based on the defogging-sensitive constraint. The application solves the technical problem that, in the prior art, detail enhancement and defogging intensity are difficult to coordinate when defogging an image, which leads to boundary mutation in partition defogging and mismatching between fog area processing and a detection target, achieves a precise, uniform and boundary-mutation-free defogging effect, and improves the technical effect of visual quality and target detection reliability of a fog-containing image.
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