基于超像素分割和暗亮通道融合的图像去雾

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关键词：图像去雾；暗亮通道融合；超像素分割；大气散射模型；暗通道先验 中图分类号：TP391 文献标识码：A doi：10.37188/CJLCD.2025-0061 CSTR：32172.14.CJLCD.2025-0061

Abstract：To address the issues of inaccurate atmospheric light estimation，low color saturation，and dim brightness in highlight regions after dehazing using dark channel prior-based methods，this paper proposes a novel dehazing approach based on superpixel segmentation and dark-bright channel fusion.This method utilizes superpixel segmentation to refine the segmentation of hazy images，clustering regions with similar depth-of-field characteristics into superpixel blocks，using these blocks to replace traditional fixed filtering windows，which effctively suppresses the blocking effect in areas of gradient abruptness. Through adaptive threshold segmentation，the algorithm identifies highlight and dark regions，and utilizes a hybrid dark channel strategy to enhance the robustness of the dehazing algorithm across various scenes. We construct an atmospheric light estimation model with joint constraints from dark and bright channels，and apply guided filtering for refinement， improving both the accuracy and spatial consistency of atmospheric light estimation.Based on optimized transmissionand atmospheric light parameters，fog-free images are derived through inverse calculation using the atmospheric scatering model.Experimental results demonstrate that the proposed method achieves a PSNR of 26.815 dB on the OTS dataset，an SSIM of 0.576 on the O-HAZE dataset，and requires only 36.28l s of processing time on the I-HAZE dataset， with average improvements of 13% and 5% in PSNR and SSIM，respectively. The proposed method effectively mitigates the persistent challenges of low saturation and insuficient luminance in highlight regions of reconstructed images，with both objective metrics and subjective evaluations demonstrating superior performance compared to state-of-the-art algorithms.

Key Words： image defogging；dark and light channel fusion； superpixel segmentation；atmospheric scatteringmodel；dark channel a prior

1引言

在实际应用中，由于大气散射、雾霾、烟尘颗粒物等环境因素，导致图像存在对比度降低、色彩饱和度低、色彩失真等问题，极大地影响了图像关键特征信息的有效提取。（剩余14154字）