Perancangan Perangkat Lunak untuk Perbaikan Citra Digital dengan Menggunakan Lima (5) Teknik Penyaringan (Filtering)
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Institusion
Universitas Sumatera Utara
Author
Siregar, Muhammad Arifin (STUDENT ID : 051401072)
(LECTURER ID : 0010037104)
(LECTURER ID : 0008107507)
(LECTURER ID : 0010037104)
(LECTURER ID : 0008107507)
Subject
Datestamp
2022-12-14 03:23:08
Abstract :
An image with low quality containing for example, defects, noise, blurred color, unsmoothness and so on, is difficult to interprete because the information transmitted by the image will decrease. Therefore, a special image processing application is needed to improve the quality of the image. In this thesis an application image processing that is useful to improve the image by decreasing it?s noise and smoothing it?s roughness has been designed. While decreasing the noise, there are two methods used i.e., intensity filtering and frequency filtering. To smoothen the images, there are three methods used, i.e. : mean filtering, median filtering and modus filtering. After the image is processed by this application in order to simplify, the observation, a histogram based on from RGB scale is make. Through this histogram, it is possible to see clearly the quantity of change of the resulting Color due to those filterings. By using this application, the image quality is then enhanced. So that it results in a clearer and smoother image.
An image with low quality containing for example, defects, noise, blurred color, unsmoothness and so on, is difficult to interprete because the information transmitted by the image will decrease. Therefore, a special image processing application is needed to improve the quality of the image. In this thesis an application image processing that is useful to improve the image by decreasing it?s noise and smoothing it?s roughness has been designed. While decreasing the noise, there are two methods used i.e., intensity filtering and frequency filtering. To smoothen the images, there are three methods used, i.e. : mean filtering, median filtering and modus filtering. After the image is processed by this application in order to simplify, the observation, a histogram based on from RGB scale is make. Through this histogram, it is possible to see clearly the quantity of change of the resulting Color due to those filterings. By using this application, the image quality is then enhanced. So that it results in a clearer and smoother image.
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