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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.
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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.