【图像修复】基于matlab GUI维纳滤波图像复原【含Matlab源码 851期】

一、获取代码方式

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二、简介

维纳滤波的基本思路与传统的滤波器相似，不过在输入输出上有所不同，维纳滤波的输入为带噪语音信号，其输出为纯净语音信号的估计值。维纳滤波的数学表达如式所示。


2 DD算法：当前帧的先验信噪比的估计：

3 优化

三、部分源代码

function varargout = wiener_filter(varargin)
% WIENER_FILTER M-file for wiener_filter.fig
%      WIENER_FILTER, by itself, creates a new WIENER_FILTER or raises the existing
%      singleton*.
%
%      H = WIENER_FILTER returns the handle to a new WIENER_FILTER or the handle to
%      the existing singleton*.
%
%      WIENER_FILTER('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in WIENER_FILTER.M with the given input arguments.
%
%      WIENER_FILTER('Property','Value',...) creates a new WIENER_FILTER or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before wiener_filter_OpeningFunction gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to wiener_filter_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help wiener_filter

% Last Modified by GUIDE v2.5 20-May-2009 10:04:40

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @wiener_filter_OpeningFcn, ...
                   'gui_OutputFcn',  @wiener_filter_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin & isstr(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before wiener_filter is made visible.
function wiener_filter_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to wiener_filter (see VARARGIN)
axes(handles.axes1);
img = checkerboard(8);
imshow(img,[]);
PSF = fspecial('motion',10,45);
MF = imfilter(img,PSF,'circular');
axes(handles.axes2);
imshow(MF,[]);
noise = imnoise(zeros(size(img)),'gaussian',0,0.01);
MFN = MF+noise;
axes(handles.axes3);
imshow(MFN,[]);
Sn = abs(fft2(MFN)).^2;
Sf = abs(fft2(img)).^2;
NCORR = fftshift(real(ifft2(Sn)));
ICORR = fftshift(real(ifft2(Sf)));
J = deconvwnr(MFN,PSF,NCORR,ICORR);
axes(handles.axes4);
imshow(J,[]);
set(handles.len_edit,'string',10);
set(handles.theta_edit,'string',45);
set(handles.variance_edit,'string',0.01);
% Choose default command line output for wiener_filter
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes wiener_filter wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = wiener_filter_OutputFcn(hObject, eventdata, handles)
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;


% --- Executes during object creation, after setting all properties.
function image_pop_menu_CreateFcn(hObject, eventdata, handles)
% hObject    handle to image_pop_menu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: popupmenu controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc
    set(hObject,'BackgroundColor','white');
else
    set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end


% --- Executes on selection change in image_pop_menu.
%function image_pop_menu_Callback(hObject, eventdata, handles)
% hObject    handle to image_pop_menu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
%LEN = str2num(get(handles.len_edit,'string'));
%THETA = str2num(get(handles.theta_edit,'string'));
variance = str2num(get(handles.variance_edit,'string'));
val = get(hObject,'value');
str = get(hObject,'string');
switch str{val}
    case 'Lena'
        lena = [];
        lena = imread('lena.bmp');
        img = lena;
    case 'Saturn'
        saturn = [];
        load imdemos saturn
        img = saturn;
    case 'Quarter'
        quarter = [];
        load imdemos quarter
        img = quarter;
    case 'Flower'
        flower = [];
        load imdemos flower
        img = flower;
    case 'Circuit'
        circuit = [];
        load imdemos circuit
        img = circuit;
end
axes(handles.axes1);
imshow(img);
PSF = fspecial('motion',LEN,THETA);
MF = imfilter(img,PSF,'circular','conv');
axes(handles.axes2);
imshow(MF);
noise = imnoise(zeros(size(img)),'gaussian',0,variance);
MF1 = double(MF);
MFN = MF1+noise;
axes(handles.axes3);
imshow(uint8(MFN),[]);
Sn = abs(fft2(MFN)).^2;
Sf = abs(fft2(img)).^2;
NCORR = fftshift(real(ifft2(Sn)));
ICORR = fftshift(real(ifft2(Sf)));
J = deconvwnr(MFN,PSF,NCORR,ICORR);
axes(handles.axes4);
imshow(J,[]);
% Hints: contents = get(hObject,'String') returns image_pop_menu contents as cell array
%        contents{get(hObject,'Value')} returns selected item from image_pop_menu


% --- Executes during object creation, after setting all properties.
function len_edit_CreateFcn(hObject, eventdata, handles)
% hObject    handle to len_edit (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc
    set(hObject,'BackgroundColor','white');
else
    set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end



function len_edit_Callback(hObject, eventdata, handles)
% hObject    handle to len_edit (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


  

 

  
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四、运行结果

五、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社，2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社，2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社，2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社，2015.
[5]陈浩,方勇,朱大洲,王成,陈子龙.基于蚁群算法的玉米植株热红外图像边缘检测[J].农机化研究. 2015,37(06)

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原文链接：qq912100926.blog.csdn.net/article/details/116208140