基于亮度校正与多空间转换的水下图像增强
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(昆明理工大学 信息工程与自动化学院,云南 昆明 650500)

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李 恒(1978-),男,硕士,高级实验师,硕士生导师,主 要从事图像处理方面的研究.

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国家自然科学基金(61863016)和地区科学基金(61263023)资助项目


Underwater image enhancement based on brightness correction and multi space tr ansformation
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(Faculty of Information Engineering and Automation,Kunming University of Sci ence and Technology,Kunming,Yunnan 650500, China)

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    摘要:

    由于水体环境中光的吸收与散射,导致采集的水 下图像存在颜色失真、亮度不均、对 比度低等缺点。针对以上缺点,提出了基于亮度校正与多空间转换的水下图像增强方法。首 先采用色彩平衡算法对退化图像进行颜色校正;然后将色彩校正的图像从红-绿-蓝(red-green-blue,RGB)空间转换为色调-饱和度-亮度(hue-saturation-value,HSV) 空间,用构造出新的二维伽马函数处理V通道,再转回RGB空间;最后对颜色校正图像和亮度 校正图像进行加权融合,并将融合图像从RGB空间转换为LAB空间,用限制对比度自适应直方 图均衡化算法处理L通道,再转回RGB空间,便得到最终的增强图像。为验证本文算法的有效 性,采用主观视觉效果和3种客观指标进行验证。结果表明,本文算法能够有效地校正图像 亮度,提高图像清晰度。

    Abstract:

    Due to the absorption and scattering of light in the water environment ,the collected underwater image has the defects of color distortion,blurred de tails,uneven illumination and poor contrast.Therefore,an underwater image enh ancement method based on brightness correction and multi-space transformation i s proposed to resolve this defect.Firstly,color balance algorithm is used to co rrect the color of degraded images.Secondly,the color corrected image is conve rted from red-green-blue (RGB) space to hue-saturation-value (HSV) space,the Vchannel is processed by the constructed two-dimensional function,and then transferred back to RGB space.Finally,the w eighted fusion of color balance image and brightness correction image are carrie d out,and the fusion image is converted from RGB space to LAB space.The Lchan nel is processed by the contrast-limited adaptive histogram equalization algori t hm,and then transferred back to RGB space to obtain the final enhanced image.I n order to verify the effectiveness of the algorithm in this paper,subjective v isual effects and three objective indicators are used for verification.The resu lts show that this algorithm can effectively correct image brightness and improv e image clarity.

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杨亚绒,李恒,赵磊,王海瑞.基于亮度校正与多空间转换的水下图像增强[J].光电子激光,2022,33(8):815~823

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  • 收稿日期:2021-10-12
  • 最后修改日期:2021-11-19
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  • 在线发布日期: 2022-09-08
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