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WhatsApp避免照片被压缩：有些时候要给客户发一些图片，不过好多人表示whatsApp分享图片会被压缩，怎么解决呢？可以只用它的Document功能。设置方法：只需要选择以“Document”方式发送照片，系统将不会自动压缩这样的图片。
%%I(x)=J(x)t(x)+Awhatsapp社交电商(1-t(x));其中I(x)是受到雾气污染的图像。J(x)是我们需要求的去雾后的图像
%%t(x)是天空中云层的透射分布率，A是天空的亮度
%暗影去雾算法
% 原始图像
img_name = imread('C:\Users\Administrator\Desktop\桌面文件\专业课\设计\2.bmp');
I = double(img_name) / 255;
% 获取图像大小
[h,w,c] = size(I);
%去雾系数
w0= 0.95;
img_size = w * h;
%初始化结果图像
dehaze = zeros(h,w,c);
%初始化暗影通道图像
win_dark = zeros(h,w);
for i=1:h
whatsapp网页版新手怎么发消息for j=1:w
win_dark(i,j)=min(I(i,j,:));%将三个通道中最暗的值赋给dark_I(i,j),显然，三维图变成了二维图
end
end
win_dark = ordfilt2(win_dark,1,ones(9,9),'symmetric');
%计算大气亮度A，相关原理详见论文“Single Image Haze Removal Using Dark Channel Prior”
dark_channel = win_dark;
A = max(max(dark_channel));
[i,j] = find(dark_channel==A);
i = i(1);
j = j(1);
A = mwhatsapp怎么在线翻译ean(I(i,j,:));
%计算初始的transmission map
transmission = 1 - w0 * win_dark / A;
%用guided filter对trasmission map做soft matting
gray_I = I(:,:,1);%这里gray_I 可以是RGB图像中任何一个通道
p = transmission;
r = 80;
eps = 10^-3;
transmission_filter = guidedfilter(gray_I, p, r, eps);
t0=0.1;
t1 = max(t0,transmission_filter);
for i=1:c
for j=1:h
for l=1:w
dehaze(j,l,i)=(I(j,l,i)-A)/t1(j,l)+A;
end
end
end
figure,
imshow(I);title('去雾前')
figure,
imshow(dehaze);title('去webex meet 官网注册雾后')
%里面用到的两个函数如下：（这两个函数是何凯明guided filter中的，详细原理可以参考博客园中laviewpb的分析）
function q = guidedfilter(I, p, r, eps)
%GUIDEDFILTERO(1) time implementation of guided filter.
%
%- guidance image: I (should be a gray-scale/single channel image)
%- filtering input image: p (should be a gray-whatsapp网页版华为下载教程scale/single channel image)
%- local window radius: r
%- regularization parameter: eps
[hei, wid] = size(I);
N = boxfilter(ones(hei, wid), r); % the size of each local patch; N=(2r+1)^2 except for boundary pixels.
mean_I = boxfilter(I, r) ./ N;
mean_p = boxfiltewhatsapp中国手机号能注册码r(p, r) ./ N;
mean_Ip = boxfilter(I.*p, r) ./ N;
cov_Ip = mean_Ip - mean_I .* mean_p; % this is the covariance of (I, p) in each local patch.
mean_II = boxfilter(I.*I, r) ./ N;
var_I = mean_II - mean_I .* mean_I;
a = cov_Ip ./ (var_I + eps); % Eqn. (5) in the paper;
b = mean_p - a .* mean_I; % Eqn. (6)whatsapp怎么导入vivo in the paper;
mean_a = boxfilter(a, r) ./ N;
mean_b = boxfilter(b, r) ./ N;
q = mean_a .* I + mean_b; % Eqn. (8) in the paper;
end
function imDst = boxfilter(imSrc, r)
%BOXFILTERO(1) time box filtering using cumulative sum
%
%- Definition imDst(x, y)=sum(sum(imSrc(x-r:x+r,y-r:y+r)));
%- Running time independent of r;
%- Equivalent to the function: colfilt(imSrc, [2*r+1, 2*r+1], 'sliding', @sum);
%- But much faster.
[hei, wid] = size(imSrc);
imDst = whatsapp网页版 网页版zeros(size(imSrc));
%cumulative sum over Y axis
imCum = cumsum(imSrc, 1);
%difwhatsapp网页版安卓最新下载ference over Y axis
imDst(1:r+1, :) = imCum(1+r:2*r+1, :);
imDst(r+2:hei-r, :) = imCum(2*r+2:hei, :) - imCum(1:hei-2*r-1, :);
imDst(hei-r+1:hei, :) = repmat(imCum(怎样在安卓手机上下载whatsapp网页版hei, :), [r, 1]) - imCum(hei-2*r:hei-r-1, :);
%cumulative sum over X axis
imCum = cumsum(imDst, 2);
%difference over Y axis
imDst(:, 1:r+1) = imCum(:, 1+r:2*r+1);
imDst(:, r+2:wid-r) = imCum(:, 2*r+2:wid) - imCum(:, 1:wid-2*r-1);
imDst(:, wid-r+1:wid) = repmat(imCum(:, wid), [1, r]) - imCum(:, wid-2*r:wid-r-1);
end
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