Pelembutan Citra dengan Metode Filter Gaussian
Image is a multimedia component rich in information and has an essential role as an information provider. However, the images encountered often experience a decrease in quality, such as defects or noise, causing the information conveyed from these images less clear. Noise causes the image to be too...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
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LP3M Universitas Nurul Jadid
2023-04-01
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| Series: | Journal of Electrical Engineering and Computer |
| Subjects: | |
| Online Access: | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/5894 |
| _version_ | 1797847281919066112 |
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| author | Junaidy B Sanger Immanuela P. Saputro P. Saputro Yunita Komalig |
| author_facet | Junaidy B Sanger Immanuela P. Saputro P. Saputro Yunita Komalig |
| author_sort | Junaidy B Sanger |
| collection | DOAJ |
| description | Image is a multimedia component rich in information and has an essential role as an information provider. However, the images encountered often experience a decrease in quality, such as defects or noise, causing the information conveyed from these images less clear. Noise causes the image to be too contrasted, blurry, or not sharp enough. One type of noise is contrast noise. Image Smoothing here is one of the operations to improve quality which aims to smooth out images with unbalanced contrast noise. Disturbances in the image are generally in the form of variations in the intensity of a pixel that is not correlated with neighboring pixels. Contrasting images are caused by uneven lighting, which can cause the information in the image to be reduced and difficult to interpret. For this reason, quality improvement must be made to get a better image. In this study, the softening of contrasting images uses the Gaussian Filter method. This filter has the effect of equalizing the gray distance to make the image obtained smoother. Based on the results of the tests, it got an accuracy of 83.3%, meaning that the application's performance is suitable for image smoothing. |
| first_indexed | 2024-04-09T18:09:54Z |
| format | Article |
| id | doaj.art-42c50cba02b246318dde9ec9983c4c3b |
| institution | Directory Open Access Journal |
| issn | 2715-0410 2715-6427 |
| language | Indonesian |
| last_indexed | 2024-04-09T18:09:54Z |
| publishDate | 2023-04-01 |
| publisher | LP3M Universitas Nurul Jadid |
| record_format | Article |
| series | Journal of Electrical Engineering and Computer |
| spelling | doaj.art-42c50cba02b246318dde9ec9983c4c3b2023-04-14T03:04:44ZindLP3M Universitas Nurul JadidJournal of Electrical Engineering and Computer2715-04102715-64272023-04-015110110510.33650/jeecom.v5i1.58941921Pelembutan Citra dengan Metode Filter GaussianJunaidy B Sanger0Immanuela P. Saputro P. Saputro1Yunita Komalig2Universitas Katolik De La Salle ManadoUniversitas Bina NusantaraUniversitas Katolik De La Salle ManadoImage is a multimedia component rich in information and has an essential role as an information provider. However, the images encountered often experience a decrease in quality, such as defects or noise, causing the information conveyed from these images less clear. Noise causes the image to be too contrasted, blurry, or not sharp enough. One type of noise is contrast noise. Image Smoothing here is one of the operations to improve quality which aims to smooth out images with unbalanced contrast noise. Disturbances in the image are generally in the form of variations in the intensity of a pixel that is not correlated with neighboring pixels. Contrasting images are caused by uneven lighting, which can cause the information in the image to be reduced and difficult to interpret. For this reason, quality improvement must be made to get a better image. In this study, the softening of contrasting images uses the Gaussian Filter method. This filter has the effect of equalizing the gray distance to make the image obtained smoother. Based on the results of the tests, it got an accuracy of 83.3%, meaning that the application's performance is suitable for image smoothing.https://ejournal.unuja.ac.id/index.php/jeecom/article/view/5894image smoothing, gaussian filter, contrast image, application |
| spellingShingle | Junaidy B Sanger Immanuela P. Saputro P. Saputro Yunita Komalig Pelembutan Citra dengan Metode Filter Gaussian Journal of Electrical Engineering and Computer image smoothing, gaussian filter, contrast image, application |
| title | Pelembutan Citra dengan Metode Filter Gaussian |
| title_full | Pelembutan Citra dengan Metode Filter Gaussian |
| title_fullStr | Pelembutan Citra dengan Metode Filter Gaussian |
| title_full_unstemmed | Pelembutan Citra dengan Metode Filter Gaussian |
| title_short | Pelembutan Citra dengan Metode Filter Gaussian |
| title_sort | pelembutan citra dengan metode filter gaussian |
| topic | image smoothing, gaussian filter, contrast image, application |
| url | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/5894 |
| work_keys_str_mv | AT junaidybsanger pelembutancitradenganmetodefiltergaussian AT immanuelapsaputropsaputro pelembutancitradenganmetodefiltergaussian AT yunitakomalig pelembutancitradenganmetodefiltergaussian |