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水下图像的三步式色彩校正与多尺度对比度增强

江巨浪 张高兴 徐光豪 刘娟

计算机科学与探索2025,Vol.19Issue(10):2739-2754,16.
计算机科学与探索2025,Vol.19Issue(10):2739-2754,16.DOI:10.3778/j.issn.1673-9418.2411054

水下图像的三步式色彩校正与多尺度对比度增强

Three-Step Color Correction and Multi-scale Contrast Enhancement for Underwater Images

江巨浪 1张高兴 1徐光豪 1刘娟1

作者信息

  • 1. 安庆师范大学 电子工程与智能制造学院,安徽 安庆 246133
  • 折叠

摘要

Abstract

Due to the absorption and scattering effects of underwater media on light,underwater imaging often suffers from color distortion,contrast degradation,and blurred details.An improved underwater image color correction method is proposed,which includes three steps:local adaptive weak channel compensation,histogram stretching,and white balance based on power transformation.For color corrected images,a joint processing method of edge sharpening,local enhancement,and global enhancement is used to fully enhance the feature information of multiple scales in the image.Based on Laplace pyramid decomposition and reconstruction,weighted fusion of contrast enhance-ment results at multiple scales is performed.The simulation experiment results of underwater images containing Macbeth color cards show that the color difference value between the underwater color card enhanced by the proposed algorithm and the standard color card is smaller than that of all comparison algorithms.The simulation results using the under-water image standard datasets of UCCS,UIQS,and UIEB show that the proposed algorithm can effectively correct color cast in various types of underwater images.The overall brightness and dark area brightness of the images can be reasonably optimized,and the visibility of scene and texture details in the images is significantly better than that of the comparison algorithms.The simulation results are quantitatively evaluated using average gradient,edge strength,information entropy,underwater image quality evaluation index,and CCF comprehensive index as evaluation indicators.The results show that each performance indicator of the proposed algorithm is either optimal or suboptimal among the compared algorithms,and the overall performance is improved by 16.93%compared with the suboptimal algorithm.

关键词

水下图像/图像增强/色彩校正/对比度增强/多尺度增强

Key words

underwater image/image enhancement/color correction/contrast enhancement/multi-scale enhancement

分类

信息技术与安全科学

引用本文复制引用

江巨浪,张高兴,徐光豪,刘娟..水下图像的三步式色彩校正与多尺度对比度增强[J].计算机科学与探索,2025,19(10):2739-2754,16.

基金项目

安徽省自然科学基金(2108085MF196) (2108085MF196)

安徽省高校重点科研项目(2023AH050474,2022AH051038).This work was supported by the Natural Science Foundation of Anhui Province(2108085MF196),and the Key Scientific Research Projects of Universities in Anhui Province(2023AH050474,2022AH051038). (2023AH050474,2022AH051038)

计算机科学与探索

OA北大核心

1673-9418

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