基于亮度校正与多空间转换的水下图像增强北大核心CSCD

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。

Underwater image enhancement based on brightness correction and multi space tr ansformation

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.