Jurnal: Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

Jurnal: Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

Jurnal: 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. 

Keywords: Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper 

Pendahuluan 

Citra dalam visualisasinya sering kali mengalami penurunan kualitas yang dapat berupa rentang kontras benda yang terlalu sempit atau terlalu lebar, distorsi geometri (geometric distortion), kekaburan (blur), blur akibat obyek citra yang bergerak (motion blur), derau (noise) atau gangguan yang disebabkan interferensi peralatan akuisisi citra, baik itu berupa tranduser, peralatan elektronik ataupun peralatan optik. 

Peneliti: I. Purwanti Ningrum

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Jurnal: Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna