【图像去噪】基于小波变换实现图像去噪分析含Matlab源码

1 简介

在图像处理过程中,图像噪声对图像的后续处理和清晰度影响较大.因此,对图像的降噪至关重要.随着小波变换的不断优化,小波变换广泛应用在图像降噪方面.该文基于软阈值的小波图像增强方法,通过实验论述小波变换在图像去噪中的应用.

2 部分代码

function varargout = wavelet(varargin)% WAVELET MATLAB code for wavelet.fig%      WAVELET, by itself, creates a new WAVELET or raises the existing%      singleton*.%%      H = WAVELET returns the handle to a new WAVELET or the handle to%      the existing singleton*.%%      WAVELET('CALLBACK',hObject,eventData,handles,...) calls the local%      function named CALLBACK in WAVELET.M with the given input arguments.%%      WAVELET('Property','Value',...) creates a new WAVELET or raises the%      existing singleton*.  Starting from the left, property value pairs are%      applied to the GUI before wavelet_OpeningFcn gets called.  An%      unrecognized property name or invalid value makes property application%      stop.  All inputs are passed to wavelet_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 wavelet% Last Modified by GUIDE v2.5 10-Jan-2021 05:42:48% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name',       mfilename, ...                   'gui_Singleton',  gui_Singleton, ...                   'gui_OpeningFcn', @wavelet_OpeningFcn, ...                   'gui_OutputFcn',  @wavelet_OutputFcn, ...                   'gui_LayoutFcn',  [] , ...                   'gui_Callback',   []);if nargin && ischar(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 wavelet is made visible.function wavelet_OpeningFcn(hObject, eventdata, handles, varargin)%**********************************************************************%%             五、重构%**********************************************************************%CA_Temp = RanksInterpolation(newCA,'r',2);CH_Temp = RanksInterpolation(newCH,'r',2);CloumnTemp1 = RanksConv(CA_Temp,Lo_R,'c')+RanksConv(CH_Temp,Hi_R,'c');CV_Temp = RanksInterpolation(newCV,'r',2);CD_Temp = RanksInterpolation(newCD,'r',2);CloumnTemp2 = RanksConv(CV_Temp,Lo_R,'c')+RanksConv(CD_Temp,Hi_R,'c');CloumnTempA = RanksInterpolation(CloumnTemp1,'c',2);CloumnTempB = RanksInterpolation(CloumnTemp2,'c',2);RowTemp = RanksConv(CloumnTempA,Lo_R,'r')+RanksConv(CloumnTempB,Hi_R,'r');Image_R =wkeep(RowTemp,size(HANDDLE_IMAGE),'c');   %提取向量和矩阵的部分axes(handles.axes_worked);image (Image_R)setappdata(handles.figure_wavelet,'Image_R',Image_R);%HANDDLE_IMAGE = img_src;     %为避免后续程序中误用X故用自定义变量替代%image(HANDDLE_IMAGE);  %  imshow(X);            %用imread读入图片，并用imshow在axes_src上显示  % WAVELET_NAME = 'sym8';%[Lo_D,Hi_D,Lo_R,Hi_R]=wfilters(WAVELET_NAME);%RowLo_DTemp = RanksSampling(RanksConv(HANDDLE_IMAGE,Lo_D,'r'),'c',2);%CA = RanksSampling(RanksConv(RowLo_DTemp,Lo_D,'c'),'r',2);%subplot(221);image(CA);colormap(map);title('Lo_D低通分解后的图像CA')%画出CA的图像% --- Executes on selection change in popupmenu1.function popupmenu1_Callback(hObject, eventdata, handles)% hObject    handle to popupmenu1 (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array%        contents{get(hObject,'Value')} returns selected item from popupmenu1% --- Executes on selection change in wavelet_style.function wavelet_style_Callback(hObject, eventdata, handles)% hObject    handle to wavelet_style (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% Hints: contents = cellstr(get(hObject,'String')) returns wavelet_style contents as cell array%        contents{get(hObject,'Value')} returns selected item from wavelet_styleWAVELET_NAME = 'haar';val = get(handles.wavelet_style,'Value');      %获取下拉框的值switch val                                     %选择小波    case 1                                 WAVELET_NAME = 'haar'    case 2         WAVELET_NAME = 'db2';    case 3         WAVELET_NAME = 'db4';    case 4         WAVELET_NAME = 'db6';    case 5         WAVELET_NAME = 'db8';    case 6         WAVELET_NAME = 'db10';    case 7         WAVELET_NAME = 'sym2';    case 8         WAVELET_NAME = 'sym4';    case 9         WAVELET_NAME = 'sym6';    case 10         WAVELET_NAME = 'sym8';    case 11         WAVELET_NAME = 'sym10';    case 12         WAVELET_NAME = 'coif1';    case 13         WAVELET_NAME = 'coif3';    case 14         WAVELET_NAME = 'coif5';    case 15         WAVELET_NAME = 'dmey'    case 16         WAVELET_NAME = 'haar'endsetappdata(handles.figure_wavelet,'WAVELET_NAME',WAVELET_NAME);% --- Executes during object creation, after setting all properties.function wavelet_style_CreateFcn(hObject, eventdata, handles)% hObject    handle to wavelet_style (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 && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))    set(hObject,'BackgroundColor','white');end% --- Executes on selection change in filter_style.function filter_style_Callback(hObject, eventdata, handles)% hObject    handle to filter_style (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% Hints: contents = cellstr(get(hObject,'String')) returns filter_style contents as cell array%        contents{get(hObject,'Value')} returns selected item from filter_styleFilter_style  = get(handles.filter_style,'Value');setappdata(handles.figure_wavelet,'Filter_style',Filter_style);% --- Executes during object creation, after setting all properties.function filter_style_CreateFcn(hObject, eventdata, handles)% hObject    handle to filter_style (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 && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))    set(hObject,'BackgroundColor','white');end% --------------------------------------------------------------------function m_thanks_Callback(hObject, eventdata, handles)% hObject    handle to m_thanks (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)h = thanks;% --------------------------------------------------------------------function m_about_Callback(hObject, eventdata, handles)% hObject    handle to m_about (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)h = about;% --------------------------------------------------------------------function m_file_Callback(hObject, eventdata, handles)% hObject    handle to m_file (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% --------------------------------------------------------------------function m_file_open_Callback(hObject, eventdata, handles)% hObject    handle to m_file_open (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% --------------------------------------------------------------------  [filename, pathname] = uigetfile( ...    {'*.bmp;*,jpg;*.png;*.jpeg;*.tif','Image File(*.bmp,*.jpg,*.png,*jpeg,*.tif)';...    '*.*',        'All File(*.*)'},...    'Pick an image');    axes(handles.axes_original);           %用axes命令设定当前操作的坐标轴是axes_src    fpath = [pathname  filename];     %将文件名和目录名组合成一个完整的路径     img_src = imread(fpath);    imshow(img_src);            %用imread读入图片，并用imshow在axes_src上显示       setappdata(handles.figure_wavelet,'img_src',img_src);          % --------------------------------------------------------------------function m_file_save_Callback(hObject, eventdata, handles)% hObject    handle to m_file_save (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)[filename,pathname]=uiputfile({'*.bmp','BMP files';'*.jpg;','JPG files'},'Pick an Image');if isequal(filename,0) || isequal(pathname,0)    return; %如果点了“取消”else    fpath = fullfile(pathname,filename);endImage_R = getappdata(handles.figure_wavelet,'Image_R');imwrite(Image_R,fpath);% --------------------------------------------------------------------function m_file_exit_Callback(hObject, eventdata, handles)% hObject    handle to m_file_exit (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)close;

3 仿真结果

4 参考文献

[1]张俊, & 朱凯荣. (2011). 基于matlab软件的小波变换在图像去噪中的应用. 电脑知识与技术(9X), 1.

博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。

部分理论引用网络文献，若有侵权联系博主删除。

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【图像去噪】基于小波变换实现图像去噪分析含Matlab源码

1 简介

2 部分代码

3 仿真结果

4 参考文献

博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。

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