机械科学与技术2024，Vol.43Issue(8)：1427-1436,10.DOI:10.13433/j.cnki.1003-8728.20230014
多尺度融合和细节提升的水下图像增强
Underwater Image Enhancement with Multi-scale Fusion and Detail Enhancement
摘要
Abstract
Due to the absorption and scattering of water when light travels through water,images taken in underwater environment often have problems such as color deviation,low contrast and loss of detail.An underwater image enhancement algorithm with multi-scale fusion and detail enhancement is proposed to restore the visibility and sharpness of the image.A color correction algorithm based on channel compensation is proposed to solve the color deviation problem of an underwater image.In order to improve the brightness and contrast of the underwater image,the histogram of three channels of the RGB color space of a color correction image is stretched to improve its brightness and global contrast.Then the contrast limited adaptive histogram equalization is used to improve the local contrast of the image.The global contrast enhancement image and the local contrast enhancement image are fused at multiple scales.For the detail loss caused by forward scattering,the improved Sobel operator is used to extract the image's edge details and add them to the fusion image to obtain the finally enhanced image.Finally,compared with some commonly used underwater image processing methods,the underwater image enhancement algorithm is effective for both subjective visual effect and objective evaluation.关键词
图像增强/颜色校正/对比度增强/多尺度融合/细节提升Key words
image enhancement/color correction/contrast enhancement/multi-scale fusion/detail improvement分类
信息技术与安全科学引用本文复制引用
李华昆,赵磊,李恒,王海瑞..多尺度融合和细节提升的水下图像增强[J].机械科学与技术,2024,43(8):1427-1436,10.基金项目
国家自然科学基金项目(61863016)与地区科学基金项目(61263023) （61863016）
