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retinex by two Bilateral Filters

于 2021-01-27 发布
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下载积分: 1 下载次数: 24

代码说明:

说明:  基于双边滤波的retinex算法,暗光图像增强,有效去噪、提高对比度、去光晕;含论文和讲解PPT、实例代码(Retinex algorithm based on bilateral filtering can enhance dark image, effectively denoise, improve contrast and eliminate halo)

文件列表:

hsv, 0 , 2010-07-15
hsv\2005.bmp, 1970126 , 2010-07-15
hsv\5.bmp, 915894 , 2010-07-12
hsv\bialteral.m, 1660 , 2010-07-15
hsv\bialteral2.m, 1196 , 2010-07-15
hsv\boy.bmp, 1962090 , 2010-07-15
hsv\demo.m, 1674 , 2010-07-15
hsv\girl.bmp, 1969902 , 2010-07-15
PPT_Retinex by Two Bilateral Filters.pdf, 2963789 , 2013-03-20
Retinex by Two Bilateral Filters.pdf, 2516867 , 2013-03-20
hsv\21.jpg, 649988 , 2018-07-05
hsv\22.jpg, 609142 , 2018-07-05
hsv\23.jpg, 660655 , 2018-07-05
hsv\24.jpg, 619138 , 2018-07-05
hsv\25.jpg, 791326 , 2018-07-05
hsv\DSC_0021.jpg, 477529 , 2014-08-19
hsv\DSC_0022.jpg, 458033 , 2014-08-19
hsv\DSC_0023.jpg, 621790 , 2014-08-19
hsv\DSC_0024.jpg, 508904 , 2014-08-19
hsv\DSC_0025.jpg, 641872 , 2014-08-19

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    2010-12-19 18:36:12下载
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    对图像进行修复,直方图均衡化处理,中值滤波和均值滤波(To repair the image, histogram equalization, median filtering and mean filtering)
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    该程序为离焦模糊参数识别的方法,通过canny算子检测边缘,用hough变换检测直线的方法求离焦半径。(The program for the defocus blur parameter identification method by canny operator edge detection using hough transform line detection method for the defocus radius.)
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    说明:  边缘特征的提取就是求图像梯度的局部最大值和方向。实际计算中,以微分算子的形式表示,并采用快速卷积函数来实现。常用的算子有微分算子,拉普拉斯算子,Canny算子等。其中Canny边缘检测是一种较新的边缘检测算子,具有较好的边缘检测性能,得到越来越广泛的应用。Canny边缘检测法利用高斯函数的一阶微分,它能在噪声抑制和边缘检测之间取得较好的平衡(Edge feature extraction is to seek the local maximum of image gradient and orientation. The actual calculation to the form of differential operator representation, and using fast convolution function to achieve. Commonly used operators are differential operators, Laplace operator, Canny operator and so on. Canny edge detection which is a relatively new edge detection operator, and has good edge detection performance, get more and more widely used. Canny edge detection method using first derivative of Gaussian function, it can in the noise suppression and edge detection to achieve a better balance between)
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