Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna
Abstract: Quality of digital
image can decrease becouse some noises. Noise can come from lower quality of
image recorder, disturb when transmission data process and weather. Noise
filtering can make image better becouse will filtering that noise from the
image and can improve quality of digital image.
This research have aim to improve color image quality with filtering
noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image,
noise from image will filtering use Bilateral Filter method, Median Filter
method and Average Filter method so can improve color image quality. To know
how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria
with compared original image and filtering image (image after using noise and
filtering noise).
This research result with noise filtering Gaussian (variance = 0.5),
highest PSNR value found in the Bilateral Filter method is 27.69. Noise
filtering Speckle (variance = 0.5), highest PSNR value found in the Average
Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5),
highest PSNR value found in the Median Filter method is 31.27.
Penulis: Ika Purwanti Ningrum,
Agfianto Eko Putra, Dian Nursantika
Kode Jurnal: jptinformatikadd110171
