搜索资源列表
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高通滤波器,对图像进行高通滤波。采用opencv,包含二维理想高通滤波,2阶巴特沃思高通滤波,二维高斯高通滤波,增长率为2二维指数高通滤波-High-pass filters, high pass filter the image. Using opencv, including two-dimensional ideal high-pass filter, 2-order Butterworth high pass filter, two-dimensional Gaussian high p
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arithmetic mean filter,geometric mean filter,harmonic mean filtercontra-harmonic mean (Q=-ve),contra-harmonic mean (Q=+ve),median filter,max filter,min filter,mid point filter and alpha-trimmed filters are applied for exponential noise image-arithmet
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指数低通滤波器,在图像处理中,用于去除灰度图像中的噪声-Exponential lowpass filter, in image processing, is used to remove the noise in grayscale images
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基于同态滤波的图像去雾程序。采用指数型高通滤波器。去雾效果比较不错。-Based on homomorphic filtering image to fog process. Exponential type high-pass filter. To fog effect is good.
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指数低通滤波器的Matlab源码实现,通过设置不同参数对比-exponential low pass filter
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指数滤波器能较好地保留边缘,当我们想要突出边缘的时候,可以用指数滤波器一试-Exponential filter can better keep the edge, when we want to highlight the edge of the time, you can try using exponential filter
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非局部均值是一种基于快匹配来确定滤波权值的。即先确定一个块的大小,例如7x7,然后在确定一个搜索区域,例如15x15,在15x15这个搜索区域中的每一个点,计算7x7的窗口与当前滤波点7x7窗口的绝对差值和,然后在计算一个指数函数,所有的搜索点都用指数函数计算出一个权值,当然还有权值的归一化。根据这个权值进行点的滤波操作。-It is a non-local means to determine the filter weight based on fast matching. That is,
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一、 计算图象的频谱函数
设计图象120*30/256*256;选用Matlab函数直接调用实现。
二、根据计算证明傅立叶变换的性质
1, 共轭对称性:
F(u,v)=F*(-u,-v) ;
三、图象的频域滤波
1, 设计一个指数低通滤波器,对两图象(f1(x,y)为30*30/256*256的图象;f2(x,y)=p3-02图象)进行低通滤波,观察分析空域图象和频谱分布的变化。
四、图象变换比较
利用现有的离散傅立叶变换、离散余弦变换、Walsh-Had
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对图像进行高通滤波,包含巴特沃斯高通滤波器BHPF,指数高通滤波器EHPF,梯形高通滤波器THPF(The image is filtered through high pass, including Butterworth high pass filter BHPF, exponential high pass filter EHPF, ladder high pass filter THPF.)
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