Implementasi dan Perbandingan Metode Wiener Filter dan Adaptive Median Filter Untuk Memperbaiki Kualitas Citra Digital

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ABSTRAK

Penggunaan citra digital memegang peranan penting sebagai bentuk informasi
dikarenakan kelebihan-kelebihan yang dimilkinya. Meskipun kaya akan informasi, tak
semua citra memiliki tampilan visual yang baik. Hal ini bisa disebabkan gangguan
berupa noise, intensitas warna yang terlalu kontras atau kabur. Noise sendiri
merupakan gangguan yang disebabkan oleh menyimpangnya data digital yang
diterima oleh alat penerima data gambar, mulai dari kamera digital dan scanner. Noise
dapat dihilangkan dengan menggunakan teknik filtering. Terdapat 2 jenis metode
filtering yang digunakan, yaitu Wiener Filter yang termasuk salah satu jenis filter
spasial non-linear (filter frekuensi) dan Adaptive Median Filter yang merupakan filter
pengembangan dari Median Filter. Adapun noise yang disebutkan berupa noise asli
yang dihasilkan dari capturing kamera digital, dan impulse noise. Dari hasil
penelitian, menunjukkan bahwa metode Kombinasi dari WF dan AMF lebih baik
dalam memperbaiki kualitas citra yang memiliki noise asli dan impulse noise
dibandingkan metode Wiener Filter dan Adaptive Median Filter dilihat dari
parameternya (MSE, PSNR, dan running time). Semakin besar ukuran citra yang diuji
maka semakin besar pula running time yang dihasilkan. Adapun nilai running time
pada metode Adaptive Median Filter jauh lebih besar dibanding dari Wiener Filter dan

Kombinasi WF dan AMF. Jika dilihat dari tampilan visual, Adaptive Median Filter
memberikan hasil lebih baik dibandingkan Wiener Filter dan Kombinasi WF dan
AMF.
Kata Kunci — Wiener Filter, Adaptive Median Filter, Kombinasi WF dan AMF,
noise asli, impulse noise.

Universitas Sumatera Utara

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IMPLEMENTATION AND COMPARISON OF WIENER FILTER AND
ADAPTIVE MEDIAN FILTER TO IMPROVE THE QUALITY OF DIGITAL
IMAGE

ABSTRACT

The use of digital image takes the necessary role as the form of information since its
has so many advantages. Despite of being rich of information, not all images have
good visual to display. This may be caused by the disturbances such as noises, the
color intensity that is too contrast or blurred. The noise itself, is a disturbance caused

by the diverged of digital data which is received by image receiver device, starts from
digital camera and scanner. Noise can be reduced by using filtering technique. There
are 2 types of filtering method used, those are Wiener Filter that included in one of
non-spatial filter type (frequency filter) and Adaptive Median Filter the development
filter from Median Filter. As for the noise in this case is the original noise obtained
from camera digital capturing, and impulse noise. From the result of research shows
that Combination of Wiener Filter and Adaptive Median Filter method is better in
improving image quality that contains original noise and impulse noise compared to
Wiener Filter and Adaptive Median Filter refered by its parameter (MSE, PSNR, and
running time). The bigger an image’s size then the bigger that running time outcame.
While in a process of running time, Adaptive Median Filter took so much time
compared to Wiener Filter and the combination of WF and AMF. Yet for the visual
display, Adaptive Median Filter shows better result than Wiener Filter and the both
Combination.

Keywords : Wiener Filter, Adaptive Median Filter, Combination of Wiener Filter and
Adaptive Median Filter, original noised, impulse noised.

Universitas Sumatera Utara