本文主要向大家介绍了Photoshop入门学习之PS 滤镜——径向模糊，通过具体的内容向大家展现，希望对大家Photoshop入门学习有所帮助。

这里给出灰度图像的模糊算法，彩色图像只要分别对三个通道做模糊即可。



%%%  radiation blur
%%%  

clc;
clear all;
close all;

I=imread('4.jpg');
I=double(I);
% Image=I;

Image=0.2989 * I(:,:,1) + 0.5870 * I(:,:,2) + 0.1140 * I(:,:,3); 


[row, col]=size(Image);
Image_new(1:row,1:col)=255;
Center_X=(col+1)/2;
Center_Y=(row+1)/2;
alpha=0.85;

for i=1:floor(Center_Y)
    for j=floor(Center_X)+1:col
        
        % 第一象限
        x1=j-Center_X;
        y1=Center_Y-i;
        T1=Image(i,j);
        
        % 第三象限
        x3=-x1;
        y3=-y1;
        x_image=floor(Center_X+x3);
        y_image=floor(Center_Y-y3);
        i3=y_image;
        j3=x_image;
        T3=Image(y_image,x_image);
        
        % 第二象限
        x2=-x1;
        y2=y1;
        x_image=floor(Center_X+x2);
        y_image=floor(Center_Y-y2);
        i2=y_image;
        j2=x_image;
        T2=Image(y_image,x_image);
        
        %第四象限
        x4=x1;
        y4=-y1;
        x_image=floor(Center_X+x4);
        y_image=floor(Center_Y-y4);
        i4=y_image;
        j4=x_image;
        T4=Image(y_image,x_image);
        
        k=y1/x1;
        x_start=x1*alpha;
        y_start=k*x_start;
        x_end=x1;
        y_end=y1;
        x=x_start;
        y=y_start;
        
        if(x1>y1)
            Num_Pixel=floor(x_end-x_start)+1;
            for x=x_start:x_end-1
                y0=k*(x+1);               
                % 第一象限
                    x1=x+1;
                    y1=round(y0);
                    % y=y+1;
                    x_image=floor(Center_X+x1);
                    y_image=floor(Center_Y-y1);
                    T1=T1+Image(y_image,x_image);
                  
                 % 第三象限
                    x3=-x1;
                    y3=-y1;
                    x_image=floor(Center_X+x3);
                    y_image=floor(Center_Y-y3);
                    T3=T3+Image(y_image,x_image);
                    
                  % 第二象限
                    x2=-x1;
                    y2=y1;
                    x_image=floor(Center_X+x2);
                    y_image=floor(Center_Y-y2);
                    T2=T2+Image(y_image,x_image);
                    
                  % 第四象限
                    x4=x1;
                    y4=-y1;
                    x_image=floor(Center_X+x4);
                    y_image=floor(Center_Y-y4);
                    T4=T4+Image(y_image,x_image);
            end
        else
            Num_Pixel=floor(y_end-y_start)+1;
            for y=y_start:y_end-1
                    x0=(y+1)/k;
                    % 第一象限
                    x1=floor(x0);
                    y1=y+1;
                    x_image=floor(Center_X+x1);
                    y_image=floor(Center_Y-y1);
                    T1=T1+Image(y_image,x_image);
                  
                    % 第三象限
                    x3=-x1;
                    y3=-y1;
                    x_image=floor(Center_X+x3);
                    y_image=floor(Center_Y-y3);
                    T3=T3+Image(y_image,x_image);
                    
                    % 第二象限
                    x2=-x1;
                    y2=y1;
                    x_image=floor(Center_X+x2);
                    y_image=floor(Center_Y-y2);
                    T2=T2+Image(y_image,x_image);
                    
                    % 第四象限
                    x4=x1;
                    y4=-y1;
                    x_image=floor(Center_X+x4);
                    y_image=floor(Center_Y-y4);
                    T4=T4+Image(y_image,x_image);
            end
        end
        Image_new(i,j)=T1/Num_Pixel;
        Image_new(i2,j2)=T2/Num_Pixel;
        Image_new(i3,j3)=T3/Num_Pixel;
        Image_new(i4,j4)=T4/Num_Pixel;
    end
end

imshow(Image_new/255);    

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