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【圖像去噪】基于最小二乘方濾波實現(xiàn)圖像去噪含Matlab源碼

2022-04-28 07:39 作者:Matlab工程師  | 我要投稿

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 EDITgui_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});endif 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 zuixiaoerchenghandles.output = hObject;% Update handles structureguidata(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 structurevarargout{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;endaxes(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.

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