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基于紅藍通道先驗主動(dòng)光源偏振水下圖像復原算法
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河海大學(xué)信息學(xué)部物聯(lián)網(wǎng)工程學(xué)院

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國家重點(diǎn)研發(fā)計劃(No.2018YFC0407101);國家自然科學(xué)基金(No. 61671202)


Underwater image restoration algorithm based on red and blue channel prior active light source polarization
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    摘要:

    針對光在水中傳播距離短、損耗大造成圖像信息損失嚴重、對比度低、色彩畸變問(wèn)題,提出一種基于紅藍通道先驗的主動(dòng)光源偏振水下圖像復原算法(ALPUIR-RBCP),首先,研究光線(xiàn)在水體傳播時(shí)的偏振特性,建立水下光學(xué)偏振模型;在此基礎上,研究不同通道光信息差異性的先驗知識和偏振度之間的映射關(guān)系,構建多通道光學(xué)偏振成像模型;進(jìn)一步,結合后向散射光偏振度的光敏感性以及光分量間相關(guān)性,計算光照分布圖和互信息,實(shí)現自適應偏振度估計,提高偏振度計算精度,增大目標信息光比重,從而提高圖像復原質(zhì)量。實(shí)驗結果表明,對比傳統的偏振光算法以及傳統圖像增強和復原算法,本算法不僅在主觀(guān)上具有良好的水下圖像復原效果,同時(shí)在各項評價(jià)指標中均有提高。

    Abstract:

    An underwater image restoration algorithm using active light source polarization based on red and blue channel prior is proposed. Aiming at the problems of serious image information loss, low contrast and color distortion caused by short propagation distance and large loss of light in water, firstly, the polarization characteristics of light traveling in water are studied, and an underwater optical polarization model is established; on this basis, different channels are studied. The prior knowledge of the difference of light information and the mapping relationship between the degree of polarization, a multi-channel optical polarization imaging model was constructed; further, combined with the light sensitivity of the degree of polarization of the backscattered light and the correlation between the light components, the illumination distribution map and Mutual information, realize self-adaptive polarization degree estimation, improve polarization degree calculation accuracy, increase the proportion of target information light, thereby improving image restoration quality. The experimental results show that, compared with the traditional polarized light algorithm and the traditional image enhancement and restoration algorithm, this algorithm not only has a good underwater image restoration effect subjectively, but also improves in various evaluation indicators.

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張卓,張學(xué)武,石孫鳳,徐曉龍,黃淵博.基于紅藍通道先驗主動(dòng)光源偏振水下圖像復原算法計算機測量與控制[J].,2022,30(10):253-261.

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歷史
  • 收稿日期:2022-05-26
  • 最后修改日期:2022-06-16
  • 錄用日期:2022-06-16
  • 在線(xiàn)發(fā)布日期: 2022-11-01
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