基于MATLAB的水下图像增强

上传者: 2201_75649891 | 上传时间: 2025-05-06 05:41:38 | 文件大小: 3.76MB | 文件类型: RAR
基于MATLAB的四种水下图像增强算法:水下图像增强中的色彩平衡与融合、两部法增强水下单幅图像、水下图像融合、两部法增强水下单幅图像的实现,与GUI显示,并用PSNR、UCIQE、UIQM、SSIM、MSE五种指标进行对比 readme很详细,代码一定能跑通,跑不通可以私聊我详细说明 其中算法涉及到的论文: 1.TWO-STEP APPROACH FOR SINGLE UNDERWATER IMAGE ENHANCEMENT 链接:https://ieeexplore.ieee.org/abstract/document/8266583 2.Color Balance and Fusion for Underwater Image Enhancement 链接:https://ieeexplore.ieee.org/document/8058463?reload=true 使用方法:运行gui.m,将待处理图像的路径复制到“图像路径"文本框中(例:F:\H0307035\Algorithm2\input\hazed1.jpg),点击读取图像。(注:路径不能带""双引号或单引号'‘)

文件下载

资源详情

[{"title":"( 118 个子文件 3.76MB ) 基于MATLAB的水下图像增强","children":[{"title":"gui.fig <span style='color:#111;'> 2.81MB </span>","children":null,"spread":false},{"title":"sse.hpp <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"hazed2.jpg <span style='color:#111;'> 358.64KB </span>","children":null,"spread":false},{"title":"hazed2.jpg <span style='color:#111;'> 358.64KB </span>","children":null,"spread":false},{"title":"sample1.jpg <span style='color:#111;'> 186.29KB </span>","children":null,"spread":false},{"title":"Sample2.jpg <span style='color:#111;'> 165.86KB </span>","children":null,"spread":false},{"title":"input2.jpg <span style='color:#111;'> 113.12KB </span>","children":null,"spread":false},{"title":"hazed4.jpg <span style='color:#111;'> 89.96KB </span>","children":null,"spread":false},{"title":"hazed4.jpg <span style='color:#111;'> 89.96KB </span>","children":null,"spread":false},{"title":"input3.jpg <span style='color:#111;'> 79.20KB </span>","children":null,"spread":false},{"title":"hazed5.jpg <span style='color:#111;'> 76.32KB </span>","children":null,"spread":false},{"title":"hazed5.jpg <span style='color:#111;'> 76.32KB </span>","children":null,"spread":false},{"title":"We1_1.jpg <span style='color:#111;'> 74.21KB </span>","children":null,"spread":false},{"title":"hazed3.jpg <span style='color:#111;'> 73.02KB </span>","children":null,"spread":false},{"title":"hazed3.jpg <span style='color:#111;'> 73.02KB </span>","children":null,"spread":false},{"title":"out.jpg <span style='color:#111;'> 63.14KB </span>","children":null,"spread":false},{"title":"hazed1.jpg <span style='color:#111;'> 43.98KB </span>","children":null,"spread":false},{"title":"hazed1.jpg <span style='color:#111;'> 43.98KB </span>","children":null,"spread":false},{"title":"test13.jpg <span style='color:#111;'> 42.02KB </span>","children":null,"spread":false},{"title":"input1.jpg <span style='color:#111;'> 27.05KB </span>","children":null,"spread":false},{"title":"We1_2.jpg <span style='color:#111;'> 24.19KB </span>","children":null,"spread":false},{"title":"101.jpg <span style='color:#111;'> 16.70KB </span>","children":null,"spread":false},{"title":"We1_3.jpg <span style='color:#111;'> 8.20KB </span>","children":null,"spread":false},{"title":"We1_4.jpg <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"We1_5.jpg <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"gui.m <span style='color:#111;'> 39.00KB </span>","children":null,"spread":false},{"title":"bilateralFilter.m <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false},{"title":"vanherk.m <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":"ssim.m <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false},{"title":"algorithm1.m <span style='color:#111;'> 3.88KB </span>","children":null,"spread":false},{"title":"dark_channelnew.m <span style='color:#111;'> 3.78KB </span>","children":null,"spread":false},{"title":"main_test_diff_weights.m <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"algorithm4.m <span style='color:#111;'> 2.86KB </span>","children":null,"spread":false},{"title":"main_using_optimized.m <span style='color:#111;'> 2.75KB </span>","children":null,"spread":false},{"title":"laplacia_conbine.m <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false},{"title":"saliency_detection.m <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"saliency_detection.m <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"Indicator.m <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"convMax.m <span style='color:#111;'> 2.26KB </span>","children":null,"spread":false},{"title":"algorithm1_opt.m <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"UISM.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"autolevel.m <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"UIConM.m <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false},{"title":"rgb2lab_n.m <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"maxfilt2.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"SimplestColorBalance.m <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"algorithm2.m <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"run_cnn.m <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"get_laplacian.m <span style='color:#111;'> 1.63KB </span>","children":null,"spread":false},{"title":"bfltColor.m <span style='color:#111;'> 1.32KB </span>","children":null,"spread":false},{"title":"darktest.m <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false},{"title":"pyr_expand.m <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"dehaze_fast.m <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"bfltGray.m <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"MyHistogramEqulization.m <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"bilateral_filter.m <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"bfilter2.m <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"algorithm2_opt.m <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"guidedfilter.m <span style='color:#111;'> 1020B </span>","children":null,"spread":false},{"title":"UCIQE.m <span style='color:#111;'> 953B </span>","children":null,"spread":false},{"title":"ColorHistogramEqulization.m <span style='color:#111;'> 951B </span>","children":null,"spread":false},{"title":"boxfilter.m <span style='color:#111;'> 929B </span>","children":null,"spread":false},{"title":"pyrBlend.m <span style='color:#111;'> 872B </span>","children":null,"spread":false},{"title":"image2avi.m <span style='color:#111;'> 783B </span>","children":null,"spread":false},{"title":"UICM.m <span style='color:#111;'> 777B </span>","children":null,"spread":false},{"title":"convolution.m <span style='color:#111;'> 772B </span>","children":null,"spread":false},{"title":"expand.m <span style='color:#111;'> 755B </span>","children":null,"spread":false},{"title":"main_of_la.m <span style='color:#111;'> 741B </span>","children":null,"spread":false},{"title":"hpfilter.m <span style='color:#111;'> 736B </span>","children":null,"spread":false},{"title":"psnr.m <span style='color:#111;'> 708B </span>","children":null,"spread":false},{"title":"dehaze.m <span style='color:#111;'> 700B </span>","children":null,"spread":false},{"title":"whiteBalance.m <span style='color:#111;'> 687B </span>","children":null,"spread":false},{"title":"guided_filter.m <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"RealGWbal.m <span style='color:#111;'> 637B </span>","children":null,"spread":false},{"title":"pyr_reduce.m <span style='color:#111;'> 626B </span>","children":null,"spread":false},{"title":"window_sum_filter.m <span style='color:#111;'> 608B </span>","children":null,"spread":false},{"title":"get_dark_channel.m <span style='color:#111;'> 585B </span>","children":null,"spread":false},{"title":"draw.m <span style='color:#111;'> 553B </span>","children":null,"spread":false},{"title":"genPyr.m <span style='color:#111;'> 550B </span>","children":null,"spread":false},{"title":"get_atmosphere.m <span style='color:#111;'> 445B </span>","children":null,"spread":false},{"title":"enhanceContrast.m <span style='color:#111;'> 426B </span>","children":null,"spread":false},{"title":"laplacian_pyramid.m <span style='color:#111;'> 395B </span>","children":null,"spread":false},{"title":"laplacian_pyramid.m <span style='color:#111;'> 395B </span>","children":null,"spread":false},{"title":"chromaticWeightmap.m <span style='color:#111;'> 387B </span>","children":null,"spread":false},{"title":"saliencyWeightmap.m <span style='color:#111;'> 347B </span>","children":null,"spread":false},{"title":"algorithm3.m <span style='color:#111;'> 331B </span>","children":null,"spread":false},{"title":"pyrReconstruct.m <span style='color:#111;'> 323B </span>","children":null,"spread":false},{"title":"pyramid_reconstruct.m <span style='color:#111;'> 308B </span>","children":null,"spread":false},{"title":"pyramid_reconstruct.m <span style='color:#111;'> 308B </span>","children":null,"spread":false},{"title":"get_radiance.m <span style='color:#111;'> 300B </span>","children":null,"spread":false},{"title":"image_entropy.m <span style='color:#111;'> 297B </span>","children":null,"spread":false},{"title":"gaussian_pyramid.m <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"gaussian_pyramid.m <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"get_transmission_estimate.m <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"UIQM.m <span style='color:#111;'> 207B </span>","children":null,"spread":false},{"title":"fusedPyramid.m <span style='color:#111;'> 194B </span>","children":null,"spread":false},{"title":"luminanceWeightmap.m <span style='color:#111;'> 172B </span>","children":null,"spread":false},{"title":"load_image.m <span style='color:#111;'> 158B </span>","children":null,"spread":false},{"title":"DEHANZENET.m <span style='color:#111;'> 145B </span>","children":null,"spread":false},{"title":"ssim_score.m <span style='color:#111;'> 93B </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明