MATLAB图像处理_同态滤波1
2024-06-05 02:16:04
原
MATLAB图像处理_同态滤波
同态滤波：
利用广义叠加原理对同态系统进行滤波。
同态滤波是把频率过滤和灰度变换结合起来的一种图像处理方法，它依靠图像的照度/ 反射率模型作为频域处理的基础，利用压缩亮度范围和增强对比度来改善图像的质量。使用这种方法可以使图像处理符合人眼对于亮度响应的非线性特性，避免了直接对图像进行傅立叶变换处理的失真。
同态滤波的基本原理是：将像元灰度值看作是照度和反射率两个组份的产物。由于照度相对变化很小，可以看作是图像的低频成份，而反射率则是高频成份。通过分别处理照度和反射率对像元灰度值的影响，达到揭示阴影区细节特征的目的。
同态滤波处理的基本流程如下：
S(x,y)---->Log---->DFT---->频域滤波---->IDFT---->Exp---->T(x,y)
其中S(x,y)表示原始图像；T(x,y)表示处理后的图像；Log 代表对数运算；DFT 代表傅立叶变换（实际操作中运用快速傅立叶变换FFT）；IDFT 代表傅立叶逆变换（实际操作中运用快速傅立叶逆变换IFFT）；Exp 代表指数运算。
下面是一张典型的同态滤波与其他图像处理方式的异同：
实现代码:
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function I3 = test_tontai(I)
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I=double(rgb2gray(I));
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[M,N]=size(I);
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rL=0.5;
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rH=4.7;%可根据需要效果调整参数
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c=2;
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d0=10;
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I1=log(I+1);%取对数
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FI=fft2(I1);%傅里叶变换
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n1=floor(M/2);
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n2=floor(N/2);
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for i=1:M
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for j=1:N
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D(i,j)=((i-n1).^2+(j-n2).^2);
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H(i,j)=(rH-rL).*(exp(c*(-D(i,j)./(d0^2))))+rL;%高斯同态滤波
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end
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end
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I2=ifft2(H.*FI);%傅里叶逆变换
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I3=real(exp(I2));
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subplot(122),imshow(I3,[]);title('同态滤波增强后');
实验发现，同态滤波有类似于高动态范围压缩的效果，比如可以把图像暗的部分提亮。
下图为原始图像，属于低曝光的一幅图像：
同态滤波后：
注：原创文章，转载请注明出处: http://blog.csdn.net/scottly1/article/details/42705271
但是为什麽我修改了rH的值看起来却没有变化呢?(3年前#5楼)查看回复(1)举报回复
风雨也无晴回复 baidu_31771689： 可能高亮处已经过曝了。。(1年前)举报回复
Jacky_Ponder： 可以请教下为什么是“I1=log(I+1);”，为什么需要+1谢谢(3年前#4楼)查看回复(1)举报回复-
风雨也无晴回复 Jacky_Ponder： 图像数据可能是0值。(3年前)举报回复
adong76： 暗部细节增强，砖瓦上方的亮部细节也增强了(3年前#3楼)查看回复(4)举报回复-
风雨也无晴回复 adong76： 建议你看看retinex、hdr相关的算法。(3年前)举报回复
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adong76回复 风雨也无晴： 那有什么其他好的解决方案么(3年前)举报回复
-
风雨也无晴回复 adong76： 同态滤波有局限性(3年前)举报回复
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风雨也无晴回复 adong76： 是的，同态效果并不是非常理想。(3年前)举报回复
qq_26924561： 处理后变成灰度图像了？(3年前#2楼)查看回复(2)举报回复
srliph812610回复 风雨也无晴： 难道不是灰度？你提交了一个彩色图就是彩色图？(2年前)举报回复-
风雨也无晴回复 qq_26924561： 是不是灰度图你自己可以看出来(3年前)举报回复
qq_23086085： 不错的内容，学习一下，谢谢分享！(3年前#1楼)查看回复(1)举报回复-
风雨也无晴回复 qq_23086085： 谢谢支持~(3年前)举报回复
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</div>同态滤波 matlab 程序 - songyimin1208的博客
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%同态滤波 function I3 = test_tontai(I)
I=double(rgb2gray(I));
[M,N]=size(I);
rL=0.5;
rH=4.7;%…来自： songyimin1208的博客
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I1=imread(‘1.jpg’); …来自： swelljing的博客
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菜鸟阳先森的博客"><h4 class="text-truncate oneline" style="width: 752px;"><em>同态滤波</em>用于光照不均匀校正 - 菜鸟阳先森的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/D/5/1/3_gy690278129.jpg" alt="GY690278129" class="avatar-pic"><span class="namebox"><span class="name">GY690278129</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">12-21</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>1102</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/GY690278129/article/details/78863579" target="_blank" title="同态滤波用于光照不均匀校正 - 菜鸟阳先森的博客"><span class="desc oneline">matlab代码，使用同态滤波的方法来处理图像的光照不均匀效果（曝光、阴影），是计算机视觉研究的一个很好的事例。...</span></a><span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/GY690278129">来自： <span class="blog_title"> 菜鸟阳先森的博客</span></a></span></p></div></div><div class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/u011076302/5585351,BlogCommendFromBaidu_19,index_19"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/u011076302/5585351,BlogCommendFromBaidu_19,index_19"}" data-flg="true"><a href="https://download.csdn.net/download/u011076302/5585351" target="_blank"><div class="content"><div class=""><span class="type">下载</span><h4 class="text-truncate oneline clearfix"><em>同态滤波</em>法（MATLAB）图像增强 </h4><span class="data float-right">06-15</span></div><div class="desc oneline">用MATLAB语言实现了同态滤波法来对图像进行增强，效果很好 </div></div></a></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/Jacky_Ponder/article/details/47791199,BlogCommendFromBaidu_20,index_20"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/Jacky_Ponder/article/details/47791199,BlogCommendFromBaidu_20,index_20"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/Jacky_Ponder/article/details/47791199" target="_blank" title="同态滤波(Homomorphic filtering) - Jacky_Ponder的博客"><h4 class="text-truncate oneline" style="width: 751px;"><em>同态滤波</em>(Homomorphic filtering) - Jacky_Ponder的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/E/1/6/3_jacky_ponder.jpg" alt="Jacky_Ponder" class="avatar-pic"><span class="namebox"><span class="name">Jacky_Ponder</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">08-19</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>7040</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/Jacky_Ponder/article/details/47791199" target="_blank" title="同态滤波(Homomorphic filtering) - Jacky_Ponder的博客"><span class="desc oneline">首先详细介绍了同态滤波的应用条件及效果，然后叙述了它的基本原理以及整个实现过程，其次着重说明了同态滤波器的设计，最后给出了经过同态滤波处理的效果图...</span></a><span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/Jacky_Ponder">来自： <span class="blog_title"> Jacky_Ponder的博客</span></a></span></p></div></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/songyimin1208/article/details/72139968,BlogCommendFromBaidu_21,index_21"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/songyimin1208/article/details/72139968,BlogCommendFromBaidu_21,index_21"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/songyimin1208/article/details/72139968" target="_blank" title="matlab 同态滤波程序 - songyimin1208的博客"><h4 class="text-truncate oneline" style="width: 751px;">matlab <em>同态滤波</em>程序 - songyimin1208的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/0/2/F/3_songyimin1208.jpg" alt="songyimin1208" class="avatar-pic"><span class="namebox"><span class="name">songyimin1208</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">05-15</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>1033</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/songyimin1208/article/details/72139968" target="_blank" title="matlab 同态滤波程序 - songyimin1208的博客"><span class="desc oneline">代码1：img_hazy = imread([‘images/’,image_name,’_input.png’]);
img1=img_hazy(:,:,1);
img2=img_hazy(…来自： songyimin1208的博客
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阿花是我啊 </h4><span class="data float-right">06-08</span></div><div class="desc oneline">话不多说，MATLAB同态滤波，有注释，每一步写的清清楚楚，双手奉上，好东西。 </div></div></a></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/zhulf0804/article/details/52496980,BlogCommendFromBaidu_24,index_24"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/zhulf0804/article/details/52496980,BlogCommendFromBaidu_24,index_24"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/zhulf0804/article/details/52496980" target="_blank" title="matlab里的图像处理函数 - zhulf0804的博客"><h4 class="text-truncate oneline" style="width: 751px;">matlab里的图像处理函数 - zhulf0804的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/1/6/D/3_zhulf0804.jpg" alt="zhulf0804" class="avatar-pic"><span class="namebox"><span class="name">zhulf0804</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">09-10</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>5031</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/zhulf0804/article/details/52496980" target="_blank" title="matlab里的图像处理函数 - zhulf0804的博客"><span class="desc oneline">一、imshow函数1、imshow(I) 显示图像I
Matlab代码：
>> I=imread(‘2.jpg’);
>> imshow(I)
显示结果2、imshow(I,[low…
来自： zhulf0804的博客
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一般情况下，图像f(x,y)是由光…来自： wangzhen_cv的专栏
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十年磨一剑"><span class="desc oneline">在用MATLAB绘制三维图形时，不仅可以</span></a><span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/seamanj">来自： <span class="blog_title"> 十年磨一剑</span></a></span></p></div></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/HUSTLX/article/details/50817827,BlogCommendFromBaidu_27,index_27"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/HUSTLX/article/details/50817827,BlogCommendFromBaidu_27,index_27"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/HUSTLX/article/details/50817827" target="_blank" title="同态滤波 - 李鑫o_O"><h4 class="text-truncate oneline" style="width: 751px;"><em>同态滤波</em> - 李鑫o_O </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/E/5/B/3_hustlx.jpg" alt="HUSTLX" class="avatar-pic"><span class="namebox"><span class="name">HUSTLX</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">03-07</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>3243</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/HUSTLX/article/details/50817827" target="_blank" title="同态滤波 - 李鑫o_O"><span class="desc oneline">在生活中会得到这样的图像，它的动态范围很大，而我们感兴趣的部分的灰度又很暗，图像细节没有办法辨认，采用一般的灰度级线性变换法是不行的。图像的同态滤波属于图像频率域处理范畴，其作用是对图像灰度范围进行调...</span></a><span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/HUSTLX">来自： <span class="blog_title"> 李鑫o_O</span></a></span></p></div></div><div class="recommend-item-box recommend-ad-box"><div id="kp_box_626" data-pid="64" data-track-view="{"mod":"kp_popu_626","con":",,"}"><div><iframe width="852" frameborder="0" height="60" scrolling="no" src="//rabc2.iteye.com/anikqudl?ros=XR&gsn=ZWT&ns=LUWXWWZY&vde=8KKGJ0U-0Td0Td2CF70y3J4E0yE5K0TdJ3FKKCPS0Td1IK93C50Td45K19CJ0TdVTYRWTYS&nm=U&nbs=R&dzb=SWVTRSSRYZWTZ&ohzc=SSSRRT,SS_RSU&zkb=SVVROZXR&nks=V&ndw=frkjynmqr&zc=WUZXOVS_&zcc=SUZUOYWXW&kxd=S&zmc=SUZUOYYR&kbs=T&zsc=zSOzS&nsc=R&mom=srdzZ&323=274hs&zl1=lvuy&swt=1"></iframe></div><script type="text/javascript" src="//rabc1.iteye.com/production/wxzgt3.js?rme=jljjon"></script></div></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/qq_37333087/article/details/80485255,BlogCommendFromQuerySearch_28,index_28"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/qq_37333087/article/details/80485255,BlogCommendFromQuerySearch_28,index_28"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/qq_37333087/article/details/80485255" target="_blank" title="opencv图像增强+单参数同态滤波 - 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qq_34725005的博客"><h4 class="text-truncate oneline" style="width: 759px;">python openCV <em>同态滤波</em>实现 - qq_34725005的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/E/5/A/3_qq_34725005.jpg" alt="qq_34725005" class="avatar-pic"><span class="namebox"><span class="name">qq_34725005</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">09-13</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>168</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/qq_34725005/article/details/82691487" target="_blank" title="python openCV 同态滤波实现 - qq_34725005的博客"><span class="desc oneline">python openCV 同态滤波实现def homofilter(I):
plt.subplot(1,2,1),plt.imshow(I),plt.title(‘原始图像’)
…来自： qq_34725005的博客
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同态滤波（Homomorphic filter）是信号与图像处理中的一种常用技术，它采用了一种线性滤…
来自： lidb86的博客
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同态变换一般是指将非线性组合信号通过某种变换，使其变成线性组合信号，从而可以更方便的运用线性操作对信号进行处理…
来自： 兔角与禅
<div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/piaoxuezhong/article/details/78212814,BlogCommendFromBaidu_34,index_34"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/piaoxuezhong/article/details/78212814,BlogCommendFromBaidu_34,index_34"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/piaoxuezhong/article/details/78212814" target="_blank" title="图像增强处理之：同态滤波与Retinex算法(一)同态滤波 - 梅子黄时雨"><h4 class="text-truncate oneline" style="width: 751px;">图像增强处理之：<em>同态滤波</em>与Retinex算法(一)<em>同态滤波</em> - 梅子黄时雨 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/5/D/F/3_piaoxuezhong.jpg" alt="piaoxuezhong" class="avatar-pic"><span class="namebox"><span class="name">piaoxuezhong</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">10-12</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>5146</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/piaoxuezhong/article/details/78212814" target="_blank" title="图像增强处理之：同态滤波与Retinex算法(一)同态滤波 - 梅子黄时雨"><span class="desc oneline">参考：http://blog.csdn.net/column/details/16104.html
来自： 梅子黄时雨
<div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/carson2005/article/details/6621402,BlogCommendFromBaidu_35,index_35"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/carson2005/article/details/6621402,BlogCommendFromBaidu_35,index_35"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/carson2005/article/details/6621402" target="_blank" title="同态滤波器 - 计算机视觉小菜鸟的专栏"><h4 class="text-truncate oneline" style="width: 749px;"><em>同态滤波</em>器 - 计算机视觉小菜鸟的专栏 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/1/5/2/3_carson2005.jpg" alt="carson2005" class="avatar-pic"><span class="namebox"><span class="name">carson2005</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">07-20</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>1.2万</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/carson2005/article/details/6621402" target="_blank" title="同态滤波器 - 计算机视觉小菜鸟的专栏"><span class="desc oneline">研究人员发现，图像f(x,y)可以表示为照度和反射两部分的乘积：式（1）
上面的式子不能直接用来对照度和反射的频率部分分别进行操作，原因是两个函数乘积的傅里叶变换是不可分的，也就是说：
…来自： 计算机视觉小菜鸟的专栏
<div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/cwqcgx/article/details/6230985,BlogCommendFromBaidu_36,index_36"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/cwqcgx/article/details/6230985,BlogCommendFromBaidu_36,index_36"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/cwqcgx/article/details/6230985" target="_blank" title="homomorphic filtering （同态滤波）原理 - cwqcgx的专栏"><h4 class="text-truncate oneline" style="width: 752px;">homomorphic filtering （<em>同态滤波</em>）原理 - cwqcgx的专栏 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/1/A/E/3_cwqcgx.jpg" alt="cwqcgx" class="avatar-pic"><span class="namebox"><span class="name">cwqcgx</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">03-08</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>3811</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/cwqcgx/article/details/6230985" target="_blank" title="homomorphic filtering （同态滤波）原理 - cwqcgx的专栏"><span class="desc oneline">Frequency domain methodsImage enhancement in the frequency domain is straightforward. We simply comp...</span></a><span class="blog_title_box oneline"><a target="_blank" href="https://blog.csdn.net/cwqcgx">来自： <span class="blog_title"> cwqcgx的专栏</span></a></span></p></div></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/piaoxuezhong/article/details/78248219,BlogCommendFromBaidu_37,index_37"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/piaoxuezhong/article/details/78248219,BlogCommendFromBaidu_37,index_37"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/piaoxuezhong/article/details/78248219" target="_blank" title="图像增强处理之：同态滤波与Retinex算法(二)McCann Retinex和McCann99 Retinex迭代算法 - 梅子黄时雨"><h4 class="text-truncate oneline" style="width: 751px;">图像增强处理之：<em>同态滤波</em>与Retinex算法(二)McCann Retinex和McCann99 Retinex迭代算法 - 梅子黄时雨 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/5/D/F/3_piaoxuezhong.jpg" alt="piaoxuezhong" class="avatar-pic"><span class="namebox"><span class="name">piaoxuezhong</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">10-16</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>3012</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/piaoxuezhong/article/details/78248219" target="_blank" title="图像增强处理之：同态滤波与Retinex算法(二)McCann Retinex和McCann99 Retinex迭代算法 - 梅子黄时雨"><span class="desc oneline">在http://write.blog.csdn.net/postedit/78212814中介绍了同态滤波算法，本片继续总结retinex算法，不过开始之前先介绍一下色彩恒常性的概念：色彩恒常性
…来自： 梅子黄时雨
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mydots的专栏"><h4 class="text-truncate oneline" style="width: 751px;">《语音信号处理》第五章总结——<em>同态滤波</em>和倒谱分析 - mydots的专栏 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/D/7/7/3_mydots.jpg" alt="mydots" class="avatar-pic"><span class="namebox"><span class="name">mydots</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">12-17</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>2573</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/mydots/article/details/41976005" target="_blank" title="《语音信号处理》第五章总结——同态滤波和倒谱分析 - mydots的专栏"><span class="desc oneline">第5章1、卷积同态系统的基本原理：理解+记忆+掌握
分离组合信号所采用的方法：
1)分离加性信号常采用线性滤波的方法
2)分离非加性组合(如乘性或卷积性组合)信号，常采用同态滤波技术(实际上…来自： mydots的专栏
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SCOTT 技术博客"><h4 class="text-truncate oneline" style="width: 751px;"><em>MATLAB图像处理</em>_去雾算法 - SCOTT 技术博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/8/A/D/3_scottly1.jpg" alt="scottly1" class="avatar-pic"><span class="namebox"><span class="name">scottly1</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">01-03</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>5318</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/scottly1/article/details/42125181" target="_blank" title="MATLAB图像处理_去雾算法 - SCOTT 技术博客"><span class="desc oneline">图像去雾操作，里面很有技术含量！使用MATLAB进行图像的去雾操作，网上一搜，这方面的东西很多，貌似已然成为研究的一个方向，大牛辈出！
这里仅仅给出一个有用的代码，能实现图像的去雾操作，详细的看后边…来自： SCOTT 技术博客
<div class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/tcmorningdew/3241891,BlogCommendFromBaidu_44,index_44"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/tcmorningdew/3241891,BlogCommendFromBaidu_44,index_44"}" data-flg="true"><a href="https://download.csdn.net/download/tcmorningdew/3241891" target="_blank"><div class="content"><div class=""><span class="type">下载</span><h4 class="text-truncate oneline clearfix"><em>同态滤波</em>图像增强源码 </h4><span class="data float-right">05-02</span></div><div class="desc oneline">用Matlab编写的同态滤波图像增强源码，运行效果非常明显。 </div></div></a></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/jinzhichaoshuiping/article/details/51504712,BlogCommendFromBaidu_45,index_45"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/jinzhichaoshuiping/article/details/51504712,BlogCommendFromBaidu_45,index_45"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/jinzhichaoshuiping/article/details/51504712" target="_blank" title="图像增强之(三) --- 同态滤波器增强算法 - AKUARIUS' NOTE"><h4 class="text-truncate oneline" style="width: 751px;">图像增强之(三) --- <em>同态滤波</em>器增强算法 - AKUARIUS' NOTE </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/7/D/6/3_jinzhichaoshuiping.jpg" alt="jinzhichaoshuiping" class="avatar-pic"><span class="namebox"><span class="name">jinzhichaoshuiping</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">05-26</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>3253</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/jinzhichaoshuiping/article/details/51504712" target="_blank" title="图像增强之(三) --- 同态滤波器增强算法 - AKUARIUS' NOTE"><span class="desc oneline">光照反射模型表示一副图像f（x，y）可以由入射光强i（x，y）（照明分量）和物体的反射率r（x，y）（反射分量）表示：照明反射模型其中,入射光强取决于光源,由于入射光光强分布函数i(x,y)随空间…
来自： AKUARIUS’ NOTE
<div class="recommend-item-box recommend-box-ident recommend-download-box clearfix" data-track-view="{"mod":"popu_387","con":",https://download.csdn.net/download/chenc20022002/2038214,BlogCommendFromBaidu_46,index_46"}" data-track-click="{"mod":"popu_387","con":",https://download.csdn.net/download/chenc20022002/2038214,BlogCommendFromBaidu_46,index_46"}" data-flg="true"><a href="https://download.csdn.net/download/chenc20022002/2038214" target="_blank"><div class="content"><div class=""><span class="type">下载</span><h4 class="text-truncate oneline clearfix">MATLAB版<em>同态滤波</em>程序 - cc20022002 </h4><span class="data float-right">02-01</span></div><div class="desc oneline">MATLAB版同态滤波程序，可以直接运行 </div></div></a></div><div class="recommend-item-box recommend-box-ident type_blog clearfix" data-track-view="{"mod":"popu_387","con":",https://blog.csdn.net/sinat_20350479/article/details/78660694,BlogCommendFromBaidu_47,index_47"}" data-track-click="{"mod":"popu_387","con":",https://blog.csdn.net/sinat_20350479/article/details/78660694,BlogCommendFromBaidu_47,index_47"}" data-flg="true"><div class="content" style="width: 842px;"><a href="https://blog.csdn.net/sinat_20350479/article/details/78660694" target="_blank" title="图像增强去雾之直方图均衡化/同态滤波/Retinex算法 - sinat_20350479的博客"><h4 class="text-truncate oneline" style="width: 751px;">图像增强去雾之直方图均衡化/<em>同态滤波</em>/Retinex算法 - sinat_20350479的博客 </h4><div class="info-box d-flex align-content-center"><!-- <p class="avatar"><img src="https://avatar.csdn.net/D/F/6/3_sinat_20350479.jpg" alt="sinat_20350479" class="avatar-pic"><span class="namebox"><span class="name">sinat_20350479</span><span class="triangle"></span></span></p> --><p class="date-and-readNum"><span class="date hover-show">11-29</span><span class="read-num hover-hide"><svg class="icon csdnc-yuedushu" aria-hidden="true"><use xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="#csdnc-m-passwords-visible"></use></svg>4180</span></p></div></a><p class="content" style="width: 842px;"><a href="https://blog.csdn.net/sinat_20350479/article/details/78660694" target="_blank" title="图像增强去雾之直方图均衡化/同态滤波/Retinex算法 - sinat_20350479的博客"><span class="desc oneline">图像增强去雾之直方图均衡化/同态滤波/Retinex算法最近撸了一发图像去雾的算法，主要举四个例子，分别用了全局直方图均衡化，局部直方图均衡化，同态滤波，Retinex增强算法。感兴趣的可以一…
来自： sinat_20350479的博客
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来自： SSS
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