【圖像去噪】基于最小二乘方濾波實現(xiàn)圖像去噪含Matlab源碼
1 簡介
基于最小二乘方濾波實現(xiàn)圖像去噪含Matlab源碼
2 部分代碼
function varargout = zuixiaoercheng(varargin)
% ZUIXIAOERCHENG M-file for zuixiaoercheng.fig
% ? ? ?ZUIXIAOERCHENG, by itself, creates a new ZUIXIAOERCHENG or raises the existing
% ? ? ?singleton*.
%
% ? ? ?H = ZUIXIAOERCHENG returns the handle to a new ZUIXIAOERCHENG or the handle to
% ? ? ?the existing singleton*.
%
% ? ? ?ZUIXIAOERCHENG('CALLBACK',hObject,eventData,handles,...) calls the local
% ? ? ?function named CALLBACK in ZUIXIAOERCHENG.M with the given input arguments.
%
% ? ? ?ZUIXIAOERCHENG('Property','Value',...) creates a new ZUIXIAOERCHENG or raises the
% ? ? ?existing singleton*. ?Starting from the left, property value pairs are
% ? ? ?applied to the GUI before zuixiaoercheng_OpeningFunction gets called. ?An
% ? ? ?unrecognized property name or invalid value makes property application
% ? ? ?stop. ?All inputs are passed to zuixiaoercheng_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 zuixiaoercheng
% Last Modified by GUIDE v2.5 20-May-2009 15:56:50
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', ? ? ? mfilename, ...
? ? ? ? ? ? ? ? ? 'gui_Singleton', ?gui_Singleton, ...
? ? ? ? ? ? ? ? ? 'gui_OpeningFcn', @zuixiaoercheng_OpeningFcn, ...
? ? ? ? ? ? ? ? ? 'gui_OutputFcn', ?@zuixiaoercheng_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 zuixiaoercheng is made visible.
function zuixiaoercheng_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 zuixiaoercheng (see VARARGIN)
img = imread('squarebox.bmp');
axes(handles.axes1);
imshow(img);
PSF = fspecial('motion',20,45);
MF = imfilter(img,PSF,'circular');
noise = imnoise(zeros(size(img)),'gaussian',0,0.01);
MF = double(MF);
MFN = MF+noise;
axes(handles.axes2);
imshow(uint8(MFN));
fr = deconvreg(MFN,PSF,4,[1e-7,1e7]);
axes(handles.axes3);
imshow(uint8(fr));
set(handles.noisepower_edit,'string',4);
% Choose default command line output for zuixiaoercheng
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes zuixiaoercheng wait for user response (see UIRESUME)
% uiwait(handles.zuixiaoercheng);
% --- Outputs from this function are returned to the command line.
function varargout = zuixiaoercheng_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)
noisepower = str2num(get(handles.noisepower_edit,'string'));
val = get(hObject,'value');
str = get(hObject,'string');
switch str{val}
? ?case 'Squarebox'
? ? ? ?squarebox = [];
? ? ? ?squarebox = imread('squarebox.bmp');
? ? ? ?img = squarebox;
? ?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 'Circuit'
? ? ? ?circuit = [];
? ? ? ?load imdemos circuit
? ? ? ?img = circuit;
? ?case 'Fingerprint'
? ? ? ?fingerprint = [];
? ? ? ?fingerprint = imread('fingerprint.jpg');
? ? ? ?img = fingerprint;
? ?case 'Licenceplate'
? ? ? ?licenceplate = [];
? ? ? ?licenceplate = imread('licenceplate.jpg');
? ? ? ?img = licenceplate;
? ?case 'Cloudy'
? ? ? ?cloudy = [];
? ? ? ?cloudy = imread('cloudy.tif');
? ? ? ?img = cloudy;
end
axes(handles.axes1);
imshow(img);
PSF = fspecial('motion',20,45);
MF = imfilter(img,PSF,'circular');
noise = imnoise(zeros(size(img)),'gaussian',0,0.01);
MF = double(MF);
MFN = MF+noise;
axes(handles.axes2);
imshow(uint8(MFN));
fr = deconvreg(MFN,PSF,noisepower,[1e-7,1e7]);
axes(handles.axes3);
imshow(uint8(fr));
3 仿真結(jié)果
4 參考文獻(xiàn)
[1]張然, 湯全武, 史崇升. 基于遞推最小二乘自適應(yīng)濾波算法的圖像去噪[J]. 計算機(jī)應(yīng)用與軟件, 2014(4):193-196.