【图像去噪】基于最小二乘方滤波实现图像去噪含Matlab源码
1 简介
基于最小二乘方滤波实现图像去噪含Matlab源码
2 部分代码
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 仿真结果
4 参考文献
[1]张然, 汤全武, 史崇升. 基于递推最小二乘自适应滤波算法的图像去噪[J]. 计算机应用与软件, 2014(4):193-196.
