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Image-visibility-improving-master

于 2018-03-28 发布 文件大小:16931KB
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下载积分: 1 下载次数: 21

代码说明:

  去散射和边缘增强是水下图像从严重细节损失、颜色偏移和模糊中提取的关键步骤。本文提出了一种增强水下图像对比度和边缘的新方法。(De-scattering and edge enhancing are critical procedures for underwater images which surfer from serious detail loss, color deviation and blurring. In this work, a novel method has been proposed to enhance contrast and edge of underwater images.)

文件列表:

Image-visibility-improving-master, 0 , 2018-03-08
Image-visibility-improving-master\Images, 0 , 2018-03-08
Image-visibility-improving-master\Images\101.jpg, 17096 , 2018-03-08
Image-visibility-improving-master\La1_4.jpg, 2197 , 2018-03-08
Image-visibility-improving-master\La1_5.jpg, 1729 , 2018-03-08
Image-visibility-improving-master\La2_1.jpg, 60612 , 2018-03-08
Image-visibility-improving-master\La2_2.jpg, 14638 , 2018-03-08
Image-visibility-improving-master\La2_3.jpg, 4103 , 2018-03-08
Image-visibility-improving-master\La2_4.jpg, 1370 , 2018-03-08
Image-visibility-improving-master\La3_1.jpg, 20493 , 2018-03-08
Image-visibility-improving-master\La3_2.jpg, 7439 , 2018-03-08
Image-visibility-improving-master\La3_3.jpg, 3587 , 2018-03-08
Image-visibility-improving-master\La3_4.jpg, 1756 , 2018-03-08
Image-visibility-improving-master\La3_5.jpg, 1231 , 2018-03-08
Image-visibility-improving-master\README.md, 773 , 2018-03-08
Image-visibility-improving-master\_config.yml, 28 , 2018-03-08
Image-visibility-improving-master\codes, 0 , 2018-03-08
Image-visibility-improving-master\codes\ColorHistogramEqulization.m, 951 , 2018-03-08
Image-visibility-improving-master\codes\DEHANZENET.m, 145 , 2018-03-08
Image-visibility-improving-master\codes\MyHistogramEqulization.m, 1170 , 2018-03-08
Image-visibility-improving-master\codes\RealGWbal.m, 637 , 2018-03-08
Image-visibility-improving-master\codes\SimplestColorBalance.m, 1749 , 2018-03-08
Image-visibility-improving-master\codes\UICM.m, 777 , 2018-03-08
Image-visibility-improving-master\codes\UIConM.m, 1881 , 2018-03-08
Image-visibility-improving-master\codes\UIQM.m, 207 , 2018-03-08
Image-visibility-improving-master\codes\UISM.m, 2130 , 2018-03-08
Image-visibility-improving-master\codes\autolevel.m, 2027 , 2018-03-08
Image-visibility-improving-master\codes\bfilter2.m, 1115 , 2018-03-08
Image-visibility-improving-master\codes\bfltColor.m, 1354 , 2018-03-08
Image-visibility-improving-master\codes\bfltGray.m, 1240 , 2018-03-08
Image-visibility-improving-master\codes\bilateralFilter.m, 6703 , 2018-03-08
Image-visibility-improving-master\codes\bilateral_filter.m, 1145 , 2018-03-08
Image-visibility-improving-master\codes\boxfilter.m, 929 , 2018-03-08
Image-visibility-improving-master\codes\convConst.mexw64, 29184 , 2018-03-08
Image-visibility-improving-master\codes\convMax.m, 2318 , 2018-03-08
Image-visibility-improving-master\codes\convolution.m, 772 , 2018-03-08
Image-visibility-improving-master\codes\dark_channelnew.m, 3869 , 2018-03-08
Image-visibility-improving-master\codes\darktest.m, 1291 , 2018-03-08
Image-visibility-improving-master\codes\dehaze.m, 700 , 2018-03-08
Image-visibility-improving-master\codes\dehaze.mat, 31902 , 2018-03-08
Image-visibility-improving-master\codes\dehaze_fast.m, 1266 , 2018-03-08
Image-visibility-improving-master\codes\expand.m, 755 , 2018-03-08
Image-visibility-improving-master\codes\gaussian_pyramid.m, 283 , 2018-03-08
Image-visibility-improving-master\codes\get_atmosphere.m, 445 , 2018-03-08
Image-visibility-improving-master\codes\get_dark_channel.m, 585 , 2018-03-08
Image-visibility-improving-master\codes\get_laplacian.m, 1665 , 2018-03-08
Image-visibility-improving-master\codes\get_radiance.m, 300 , 2018-03-08
Image-visibility-improving-master\codes\get_transmission_estimate.m, 256 , 2018-03-08
Image-visibility-improving-master\codes\guided_filter.m, 649 , 2018-03-08
Image-visibility-improving-master\codes\guidedfilter.m, 1020 , 2018-03-08
Image-visibility-improving-master\codes\hpfilter.m, 736 , 2018-03-08
Image-visibility-improving-master\codes\image2avi.m, 783 , 2018-03-08
Image-visibility-improving-master\codes\lab_to_rgb.m, 90 , 2018-03-08
Image-visibility-improving-master\codes\laplacia_conbine.m, 2522 , 2018-03-08
Image-visibility-improving-master\codes\laplacian_pyramid.m, 395 , 2018-03-08
Image-visibility-improving-master\codes\load_image.m, 158 , 2018-03-08
Image-visibility-improving-master\codes\main_of_la.m, 741 , 2018-03-08
Image-visibility-improving-master\codes\main_test_diff_weights.m, 3028 , 2018-03-08
Image-visibility-improving-master\codes\main_using_optimized.m, 2811 , 2018-03-08
Image-visibility-improving-master\codes\maxfilt2.m, 1784 , 2018-03-08
Image-visibility-improving-master\codes\pyramid_reconstruct.m, 308 , 2018-03-08
Image-visibility-improving-master\codes\rgb_to_lab.m, 90 , 2018-03-08
Image-visibility-improving-master\codes\run_cnn.m, 1681 , 2018-03-08
Image-visibility-improving-master\codes\saliency_detection.m, 2484 , 2018-03-08
Image-visibility-improving-master\codes\sse.hpp, 3125 , 2018-03-08
Image-visibility-improving-master\codes\ssim.m, 4430 , 2018-03-08
Image-visibility-improving-master\codes\ssim_score.m, 93 , 2018-03-08
Image-visibility-improving-master\codes\underwater.p, 1319 , 2018-03-08
Image-visibility-improving-master\codes\underwaterimage2.p, 963 , 2018-03-08
Image-visibility-improving-master\codes\vanherk.m, 4665 , 2018-03-08
Image-visibility-improving-master\codes\white_balance.p, 650 , 2018-03-08
Image-visibility-improving-master\codes\window_sum_filter.m, 608 , 2018-03-08
Image-visibility-improving-master\demo.m, 216 , 2018-03-08
Image-visibility-improving-master\result, 0 , 2018-03-08
Image-visibility-improving-master\result\La1_1.jpg, 24245 , 2018-03-08
Image-visibility-improving-master\result\La1_2.jpg, 8731 , 2018-03-08
Image-visibility-improving-master\result\La1_3.jpg, 4172 , 2018-03-08
Image-visibility-improving-master\result\La1_4.jpg, 2197 , 2018-03-08
Image-visibility-improving-master\result\La1_5.jpg, 1729 , 2018-03-08
Image-visibility-improving-master\result\La2_1.jpg, 60612 , 2018-03-08
Image-visibility-improving-master\result\La2_2.jpg, 14638 , 2018-03-08
Image-visibility-improving-master\result\La2_3.jpg, 4103 , 2018-03-08
Image-visibility-improving-master\result\La2_4.jpg, 1370 , 2018-03-08
Image-visibility-improving-master\result\La3_1.jpg, 20493 , 2018-03-08
Image-visibility-improving-master\result\La3_2.jpg, 7439 , 2018-03-08
Image-visibility-improving-master\result\La3_3.jpg, 3587 , 2018-03-08
Image-visibility-improving-master\result\La3_4.jpg, 1756 , 2018-03-08
Image-visibility-improving-master\result\La3_5.jpg, 1231 , 2018-03-08
Image-visibility-improving-master\result\We1_1.jpg, 102178 , 2018-03-08
Image-visibility-improving-master\result\We1_2.jpg, 31066 , 2018-03-08
Image-visibility-improving-master\result\We1_3.jpg, 9017 , 2018-03-08
Image-visibility-improving-master\result\We1_4.jpg, 3048 , 2018-03-08
Image-visibility-improving-master\result\We1_5.jpg, 1160 , 2018-03-08
Image-visibility-improving-master\result\result1.jpg, 82196 , 2018-03-08
Image-visibility-improving-master\result\result2.jpg, 99886 , 2018-03-08
Image-visibility-improving-master\result\result3.jpg, 73799 , 2018-03-08
Image-visibility-improving-master\result\result4.jpg, 102836 , 2018-03-08
Image-visibility-improving-master\水下图像清晰化.avi, 16909742 , 2018-03-08

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发表评论

0 个回复

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    平稳小波变换的matlab程序 还包括去噪 什么的应用(Stationary wavelet transform denoising matlab program also includes the application of what)
    2011-04-24 18:22:06下载
    积分:1
  • MutualInfo
    通过高斯核密度估计计算多元变量之间的互信息熵(The mutual information entropy between multivariate variables is calculated by Gaussian kernel density estimation)
    2017-03-08 16:22:21下载
    积分:1
  • gauss-gamma窗函数
    写成gauss-gamma双窗函数,计算含有相干斑噪声的sar图像的梯度(The gauss-gamma double window function is used to calculate the gradient of the SAR image with the speckle noise)
    2018-03-13 16:31:22下载
    积分:1
  • watermark
    應用視覺密碼原理之浮水印技術,包含程式碼與原始論文檔(Application of the principle of visual cryptography watermark technology, contains the original code of the document)
    2008-12-23 01:55:32下载
    积分:1
  • MRF_SEGMENT
    利用马尔可夫随机场进行图像分割,可以直接运行,可以设定分割类数(segmentation based on MRF)
    2012-03-07 23:12:41下载
    积分:1
  • mac
    是有关图像去噪与分割的算法,形态成分分析法,的源码,可以直接使用(Is the source of the image denoising and segmentation algorithm, the form of component analysis, can be used directly)
    2012-06-18 17:51:37下载
    积分:1
  • mzlfy314
    一.主站说明 本站主站为HTM格式,主要用背景图片添加内容.使用简单方便,只要会PHOTO SHOP 的朋友均应会自已添加站内的内容.在此就不多说了.(A main station that the main station for the HTM format, the main use of the background picture to add content.Easy to use, as long as PHOTO SHOP friends should be added to the content of their own station.)
    2017-01-08 16:39:28下载
    积分:1
  • edgedirection
    轮廓特征提取,是图像处理中底层特征中的一个重要参数,是我硕士论文中的代码(Contour feature extraction, image processing are the underlying characteristics of an important parameter, is my master' s thesis in the code)
    2009-02-24 12:04:09下载
    积分:1
  • cvpr12_mfc
    cvpr2012_oral On Multiple Foreground Cosegmentation(In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo sets where a finite number of K foregrounds of interest repeatedly occur over the entire photo set, but only an unknown subset of them is presented in each image. This contrasts the classical cosegmentation problem dealt with by most existing algorithms, which assume a much simpler but less realistic setting where the same set of foregrounds recurs in every image. We propose a novel optimization method for MFC, which makes no assumption on foreground configurations and does not suffer from the aforementioned limitation, while still leverages all the benefits of having co-occurring or (partially) recurring contents across images. Our method builds on an iterative scheme that alternates between a foreground modeling module and a region assignment module, both highly efficient and scalable. In part)
    2012-12-06 19:38:33下载
    积分:1
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    说明:  用于物体目标轮廓的提取与跟踪,能更好的识别出物体轮廓。(Target contour for object extraction and tracking, to better identify the contours of objects.)
    2010-04-07 09:46:42下载
    积分:1
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