Implementasi Kombinasi Artithmetic Mean Filter Dan High Boost Filtering Untuk Memperbaiki Kualitas Pada Citra Digital

(1)

LISTING PROGRAM

1. Form Cover

function varargout = cover(varargin) % COVER MATLAB code for cover.fig

% COVER, by itself, creates a new COVER or raises the existing % singleton*.

%

% H = COVER returns the handle to a new COVER or the handle to % the existing singleton*.

%

% COVER('CALLBACK',hObject,eventData,handles,...) calls the local

% function named CALLBACK in COVER.M with the given input arguments.

%

% COVER('Property','Value',...) creates a new COVER or raises the

% existing singleton*. Starting from the left, property value pairs are

% applied to the GUI before cover_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application

% stop. All inputs are passed to cover_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 cover

% Last Modified by GUIDE v2.5 20-Jun-2014 12:24:43

% Begin initialization code - DO NOT EDIT gui_Singleton = 1;

gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @cover_OpeningFcn, ... 'gui_OutputFcn', @cover_OutputFcn, ... 'gui_LayoutFcn', [] , ...

'gui_Callback', []); if nargin && ischar(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

(2)

% --- Executes just before cover is made visible.

function cover_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 cover (see VARARGIN)

% Choose default command line output for cover handles.Axes1 = imshow('logo.jpg');

handles.output = hObject;

% Update handles structure guidata(hObject, handles);

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

% --- Outputs from this function are returned to the command line. function varargout = cover_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;

% ---

function Untitled_2_Callback(hObject, eventdata, handles) % hObject handle to Untitled_2 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) Skripsi

delete(handles.figure1)

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) Help

% ---

(3)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) close;

2. Form Procces

function varargout = Skripsi(varargin) % SKRIPSI MATLAB code for Skripsi.fig

% SKRIPSI, by itself, creates a new SKRIPSI or raises the existing

% singleton*. %

% H = SKRIPSI returns the handle to a new SKRIPSI or the handle to

% the existing singleton*. %

% SKRIPSI('CALLBACK',hObject,eventData,handles,...) calls the local

% function named CALLBACK in SKRIPSI.M with the given input arguments.

%

% SKRIPSI('Property','Value',...) creates a new SKRIPSI or raises the

% existing singleton*. Starting from the left, property value pairs are

% applied to the GUI before Skripsi_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application

% stop. All inputs are passed to Skripsi_OpeningFcn via varargin.

%

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

% Last Modified by GUIDE v2.5 20-Jun-2014 11:25:37

gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ...

'gui_OpeningFcn', @Skripsi_OpeningFcn, ... 'gui_OutputFcn', @Skripsi_OutputFcn, ... 'gui_LayoutFcn', [] , ...

if nargout

(4)

% --- Executes just before Skripsi is made visible.

function Skripsi_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn.

% 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 Skripsi (see VARARGIN)

% Choose default command line output for Skripsi handles.output = hObject;

% Update handles structure guidata(hObject, handles);

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

% --- Outputs from this function are returned to the command line. function varargout = Skripsi_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure

% --- Executes on button press in pushbutton1.

function pushbutton1_Callback(hObject, eventdata, handles) % hObject handle to pushbutton1 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) [nama_file,nama_path] = uigetfile({'*.jpg'},'Buka File Citra'); if ~isequal(nama_file,0)

handles.citra = imread(fullfile(nama_path,nama_file)); guidata(hObject,handles);

axes(handles.axes1); imshow(handles.citra); else

return; end;

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) gambar = getimage(handles.axes1);

red = gambar(:,:,1); if red <= 255

msgbox('Gambar yang diproses harus berwarna(RGB)','Peringatan','warn'); else

(5)

grayscale = 0.3*red + 0.3*green + 0.3*blue; axes(handles.axes2);

imshow(grayscale); end;

function slider2_Callback(hObject, eventdata, handles) % hObject handle to slider2 (see GCBO)

% Hints: get(hObject,'Value') returns position of slider

% get(hObject,'Min') and get(hObject,'Max') to determine range of slider

F = getimage(handles.axes2); prob = get(hObject,'value'); probabilitas = + prob /100 %end;

%if probabilitas < 0 || probabilitas > 1

% error ('nilai probabilitas harus antara 0 sd 1'); %end

[m, n] = size(F);

G = double(F); %&& double membuat rentang nilai 0-1 for i=1 : m

for j=1 : n

nilai_acak = rand;

if nilai_acak <= probabilitas/2 G(i,j) = 0;

elseif(nilai_acak > probabilitas/2) && (nilai_acak <= probabilitas) G(i,j) = 255;

%&& adalah kondisi untuk semua sama dan benar end

end end

G = uint8(G); handles.gui.G = G; citranoise = G;

guidata(hObject, handles) axes(handles.axes3); imshow(citranoise);

set(handles.text10,'string',probabilitas*100);

% --- Executes during object creation, after setting all properties. function slider2_CreateFcn(hObject, eventdata, handles)

% hObject handle to slider2 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background. if isequal(get(hObject,'BackgroundColor'),

get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor',[.9 .9 .9]); end

(6)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) tic;

I=getimage(handles.axes3); temp=I;

[b k c]=size(temp); for x=1:1:b for y=1:1:k for z=1:1:c try

matriks(1,1)=temp(x-1,y-1,z); catch

matriks(1,1)=0; end

try

matriks(1,2)=temp(x-1,y,z); catch

matriks(1,2)=0; end

try

matriks(1,3)=temp(x-1,y+1,z); catch

matriks(1,3)=0; end

try

matriks(2,1)=temp(x,y-1,z); catch

matriks(2,1)=0; end

try

matriks(2,2)=temp(x,y,z); catch

matriks(2,2)=0; end

try

matriks(2,3)=temp(x,y+1,z); catch

matriks(2,3)=0; end

try

matriks(3,1)=temp(x+1,y-1,z); catch

matriks(3,1)=0; end

try

matriks(3,2)=temp(x+1,y,z); catch

matriks(3,2)=0; end

try

matriks(3,3)=temp(x+1,y+1,z); catch

matriks(3,3)=0; end

(7)

for j=1:3

filtered(x,y,z)=filtered(x,y,z)+matriks(i,j); end

end

arithmatik(x,y,z) = (filtered(x,y,z)/9); end

end

arithmatik=uint8(arithmatik);

handles.gui.arithmatik = arithmatik; guidata(hObject, handles)

axes(handles.axes4); imshow(arithmatik); toc;

set(handles.text21,'string',toc);

% --- Executes on slider movement.

tic;

I=getimage(handles.axes4); temp=I;

[b k c]=size(temp); for x=1:1:b for y=1:1:k for z=1:1:c try

matriks(1,1)=temp(x-1,y-1,z); catch

matriks(1,1)=0; end

try

matriks(1,2)=temp(x-1,y,z); catch

matriks(1,2)=0; end

try

matriks(1,3)=temp(x-1,y+1,z); catch

matriks(1,3)=0; end

try

matriks(2,1)=temp(x,y-1,z); catch

matriks(2,1)=0; end

try

matriks(2,2)=temp(x,y,z); catch

matriks(2,2)=0; end

try

(8)

catch

matriks(2,3)=0; end

try

matriks(3,1)=temp(x+1,y-1,z); catch

matriks(3,1)=0; end

try

matriks(3,2)=temp(x+1,y,z); catch

matriks(3,2)=0; end

try

matriks(3,3)=temp(x+1,y+1,z); catch

matriks(3,3)=0; end

nilai = get(hObject,'value'); A = + nilai;

H=(1/9)*[-1 -1 -1; -1 8 -1; -1 -1 -1]; K=[0 0 0; 0 1 0; 0 0 0];

HB= ((A-1).*K) + H;

for i = 1:3 for j = 1:3

sharpened(i,j)= matriks(i,j)*HB(i,j); end

end

sharpened=uint8(sharpened); filtered(x,y,z)=0;

for i=1:3 for j=1:3

filtered(x,y,z)=filtered(x,y,z)+sharpened(i,j );

end end end

end end

filtered=uint8(filtered);

handles.gui.filtered = filtered; guidata(hObject, handles)

set(handles.text11,'string',A); axes(handles.axes5);

imshow(filtered); toc;

set(handles.text16,'string',toc);

% hObject handle to slider3 (see GCBO)

(9)

if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor',[.9 .9 .9]); end

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) gray = getimage(handles.axes2);

noise = getimage(handles.axes3); citra_gray = double(gray);

citra_noise = double(noise); [M N] = size(gray);

error = citra_gray - citra_noise;

MSE = sum(sum(error .* error)) / (M * N);

if(MSE > 0)

PSNR = 10*log(255*255/MSE) / log(10) else

PSNR = 99 end

set(handles.text12,'string',PSNR);

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) gray = getimage(handles.axes2);

noise = getimage(handles.axes3); citra_gray = double(gray);

citra_noise = double(noise); [M N] = size(gray);

error = citra_gray - citra_noise;

MSE = sum(sum(error .* error)) / (M * N)

if(MSE > 0)

PSNR = 99 end

set(handles.text13,'string',MSE);

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) noise = getimage(handles.axes2);

arithmetic = getimage(handles.axes4); citra_noise = double(noise);

citra_arithmetic = double(arithmetic); [M N] = size(noise);

(10)

MSE = sum(sum(error .* error)) / (M * N)

if(MSE > 0)

PSNR = 99 end

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) noise = getimage(handles.axes2);

arithmetic = getimage(handles.axes4); citra_noise = double(noise);

citra_arithmetic = double(arithmetic); [M N] = size(noise);

error = citra_noise - citra_arithmetic; MSE = sum(sum(error .* error)) / (M * N)

if(MSE > 0)

PSNR = 99 end

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) arithmetic = getimage(handles.axes2);

highboost = getimage(handles.axes5); citra_arithmetic = double(arithmetic); citra_highboost = double(highboost); [M N] = size(arithmetic);

error = citra_arithmetic - citra_highboost; MSE = sum(sum(error .* error)) / (M * N)

if(MSE > 0)

PSNR = 99 end

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) arithmetic = getimage(handles.axes2);

(11)

error = citra_arithmetic - citra_highboost; MSE = sum(sum(error .* error)) / (M * N)

if(MSE > 0)

PSNR = 99 end

% --- Executes on slider movement.

F = getimage(handles.axes2);

mu = 0; % Nilai bawaan mu

deviasi = get(hObject,'value'); sigma = + deviasi

[m n p] = size(F); noise = double(F); for i=1 : m

for j=1 : n for k=1 : p

derau = randn * sigma + mu;

G(i,j,k) = round(noise(i,j,k) + derau); if G(i,j,k) > 255

G(i,j,k) = 255; elseif G(i,j,k) < 0 G(i,j,k) = 0;

G = uint8(G); end;

end; end; end;

handles.gui.G = G; citranoise = G;

guidata(hObject, handles) axes(handles.axes3); imshow(citranoise);

set(handles.text9,'string',sigma);

(12)

% Hint: slider controls usually have a light gray background. if isequal(get(hObject,'BackgroundColor'),

get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor',[.9 .9 .9]); end

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) cover

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) Help

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) [nama_file_simpan, path_simpan]=uiputfile(...

{'*.jpg','(*.jpg)';

'*.*','Semua File(*.*)'},... 'Menyimpan Citra Hasil'); G=getimage(handles.axes5);

imwrite(G,fullfile(path_simpan,nama_file_simpan),'JPG');

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) close;

3. Form Help

function varargout = Help(varargin) % HELP MATLAB code for Help.fig

(13)

%

% H = HELP returns the handle to a new HELP or the handle to % the existing singleton*.

%

% HELP('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in HELP.M with the given input

arguments. %

% HELP('Property','Value',...) creates a new HELP or raises the % existing singleton*. Starting from the left, property value pairs are

% applied to the GUI before Help_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application

% stop. All inputs are passed to Help_OpeningFcn via varargin. %

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

% Last Modified by GUIDE v2.5 16-Jul-2014 13:43:48

gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @Help_OpeningFcn, ... 'gui_OutputFcn', @Help_OutputFcn, ... 'gui_LayoutFcn', [] , ...

if nargout

% End initialization code - DO NOT EDIT

% --- Executes just before Help is made visible.

function Help_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn.

% 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 Help (see VARARGIN)

% Choose default command line output for Help handles.output = hObject;

(14)

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

% --- Outputs from this function are returned to the command line. function varargout = Help_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure

% --- Executes on selection change in listbox2.

function listbox2_Callback(hObject, eventdata, handles) % hObject handle to listbox2 (see GCBO)

% Hints: contents = cellstr(get(hObject,'String')) returns listbox2 contents as cell array

% contents{get(hObject,'Value')} returns selected item from listbox2

% --- Executes during object creation, after setting all properties. function listbox2_CreateFcn(hObject, eventdata, handles)

% hObject handle to listbox2 (see GCBO)

% Hint: listbox 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

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) cover

% ---

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) Skripsi

(15)

% ---

(16)

Implementasi Kombinasi Artithmetic Mean Filter Dan High Boost Filtering Untuk Memperbaiki Kualitas Pada Citra Digital

LISTING PROGRAM

1.

Form Cover

2.

Form Procces

3.

Form Help

CURRICULUM VITAE

Nama

: Lorent Oliver Barus

Alamat Sekarang

: Jln. Bunga Cempaka No.51 UTR LK III Padang Bulan Medan

Alamat Orang Tua

: Jln. Bunga Cempaka No.51 UTR LK III Padang Bulan Medan

Telp/Hp

: 0856-6261-664

Email

:

[email protected]

Riwayat Pendidikan

SD Impres Medan dari Tahun 1998 s/d Tahun 2004

SMP Budi Murni 2 Medan dari Tahun 2004 s/d Tahun 2007

SMU Budi Murni 2 Medan dari Tahun 2007 s/d Tahun 2010

Universitas Sumatera Utara dari Tahun 2010 s/d Tahun 2014

Keahlian

Bahasa : Bahasa Indonesia

Bahasa Pemrograman : MATLAB