首页|匹配变换和线性变换融合的水下图像增强

匹配变换和线性变换融合的水下图像增强

扫码查看
为了有效地改善水下图像的颜色和对比度,提出了匹配变换和线性变换融合的水下图像增强方法.对强度最大的通道图像进行对比度限制的自适应直方图均衡化,根据均衡化后的通道图像直方图,对另外两通道图像分别进行直方图匹配,最后得到颜色校正的图像.在HSV颜色空间中,对颜色校正图像的明度分量进行自适应分段线性变换,得到对比度增强的图像.分别计算2张增强图像的对比度权重、显著性权重、亮度分布权重和饱和度权重,根据权重对2张增强图像进行多尺度金字塔加权融合,得到最后的增强图像.实验结果表明,该方法对水下图像增强后的视觉效果优于现有方法,对应的平均梯度、水下彩色图像质量评价(UCIQE)指标和水下图像质量(UIQM)指标比现有方法分别提高30.0%、7.29%和 16.0%.
Underwater Image Enhancement Based on the Fusion of Matching Transformation and Linear Transformation
Aiming at better improvement of the color and contrast of underwater image,an underwater image enhancement method based on the fusion of matching transformation and linear transformation is proposed.The channel image with highest intensity is enhanced by the contrast limited adaptive histogram equalization,and based on the histogram of the equalized channel image,the other two channel images are enhanced by histogram matching,so as to obtain color corrected image.And in the HSV color space,the brightness component of the color corrected image is enhanced by adaptive piecewise linear transformation,so as to obtain contrast enhanced image.With the help of the contrast weight,saliency weight,brightness distribution weight,and saturation weight calculated separately with the two enhanced images,the two enhanced images are multi-scale pyramid weighted fused,obtaining the final enhanced image.Experimental results shown that the visual effect of enhanced images by proposed method outperforms the existing methods,and the corresponding average gradient,UCIQE and UIQM are higher than the existing methods by 30.0%,7.29%and 16.0%,respectively.

underwater image enhancementhistogram matchingadaptive piecewise linear transformationpyramid weighted fusion

段燕北、程航

展开 >

南昌工学院实验实训中心,南昌 330108

南昌工学院教务处,南昌 330108

水下图像增强 直方图匹配 自适应分段线性变换 金字塔加权融合

江西省教育厅科学技术研究项目

GJJ191099

2024

实验室研究与探索
上海交通大学

实验室研究与探索

CSTPCD北大核心
影响因子:1.69
ISSN:1006-7167
年,卷(期):2024.43(7)