激光与光电子学进展, 2020, 57 (24): 241013, 网络出版: 2020-11-18   

基于颜色校正和细节保持的水下图像增强 下载: 1224次

Underwater Image Enhancement Based on Color Correction and Detail Preservation
作者单位
1 新乡职业技术学院汽车技术系, 河南 新乡 453006
2 桂林电子科技大学电子工程与自动化学院, 广西 桂林 541004
摘要
受散射和吸收的影响,水下图像出现颜色失真、可视性低、细节丢失的问题。为了有效解决上述问题,提出了基于颜色校正和细节保持的水下图像增强方法。首先,采用基于Retinex启发的方法,通过调整每个颜色通道的直方图分布来对颜色进行校正。然后,一个基于中值和均值的平均值的双区间直方图用于改善低像素区域和高像素区域,整合图像的对比度得到了显著提高。最后,一个多尺度非锐化掩模方法用于整个图像的锐化,以突显图像细节。实验结果表明,所提方法有效地消除了图像颜色失真,增强了图像对比度和细节。
Abstract
Quality of images that are captured underwater typically deteriorates owing to color distortion, low visibility, and detail losses caused by absorption and scattering. To effectively handle the above-mentioned problems, a novel underwater image enhancement method using color correction and detail preservation is proposed herein. First, a Retinex-inspired method is employed to achieve color correction by adjusting the histogram distribution of each color channel. Next, a dual-interval histogram based on the average of median and mean values is applied to improve the lower and upper pixel regions, which significantly improves the contrast of the integrated image. Finally, a multiscale unsharp masking method is used to sharpen the overall image to highlight the details of the output image. The experimental results show that the proposed method both effectively eliminates the color distortion and enhances the contrast and detail of the image.

陈小国, 胡锦泉. 基于颜色校正和细节保持的水下图像增强[J]. 激光与光电子学进展, 2020, 57(24): 241013. Xiaoguo Chen, Jinquan Hu. Underwater Image Enhancement Based on Color Correction and Detail Preservation[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241013.

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