Damayanti, Amalia (2019) Distribusi tekstur kepadatan kabut pada simulasi 2D kabut heterogen menggunakan perlin noise. Undergraduate thesis, Universitas Islam Negeri Maulana Malik Ibrahim.
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Abstract
INDONESIA:
Kabut merupakan salah satu noise yang sangat merugikan karena citra yang ditangkap oleh kamera mengalami degradasi visual. Namun, noise tersebut dapat dimanfaatkan untuk visualisasi kabut yang mampu meningkatkan realitas adegan berkabut dalam suatu simulasi. Dalam makalah ini, simulasi berbasis citra dibangun dengan algoritma yang mengimplementasikan model hamburan atmosfer dan metode Perlin Noise untuk menghasilkan citra sintesis berkabut heterogen berdasarkan distribusi tekstur kepadatan kabut. Sebagai pembanding efektifitasnya, dibangun juga algoritma yang mengimplementasikan metode Salt and Pepper Noise dan Gaussian Noise. Kemudian tahap pengujiannya menggunakan histogram dan AuthESI (Authenticity Evaluator for Synthetic Foggy/Hazy Images). Hasil perbandingan histogram menunjukkan bahwa algoritma yang dibangun dengan Perlin Noise mempunyai nilai intensitas warna (koordinat x) dan frekuensi kemunculan warna (koordinat y) yang lebih besar daripada kedua metode lainnya sehingga menghasilkan lebih banyak warna putih yang mewakili adegan kabut. Sedangkan hasil perbandingan rata-rata authenticity value yang dihitung menggunakan metode AuthESI menunjukkan bahwa algoritma yang dibangun dengan Perlin Noise lebih efektif 6.77% daripada algoritma yang dibangun dengan Salt and Pepper Noise dan lebih efektif 18.73% daripada algoritma yang dibangun dengan Gaussian Noise dalam mendistribusikan tekstur kepadatan kabut di citra sintesis berkabut heterogen.
ENGLISH:
Fog is one of the noise that is very detrimental because the image captured by the camera becomes has been degraded visually. However, this noise can be used for visualization of fog that can increase the reality of foggy scenes in a simulation. In this paper, image-based simulation is built with an algorithm that implements atmospheric scattering models and the Perlin Noise method to produce heterogeneous foggy synthesis images based on density distribution texture of fog. As a comparison of its effectiveness, an algorithm is also built with implement the Salt and Pepper Noise and Gaussian Noise methods. Then the testing phase uses a histogram and AuthESI (Authenticity Evaluator for Synthetic Foggy / Hazy Images). The results of histogram comparison show that algorithm built with Perlin Noise has color intensity value (coordinate x) and frequency of color appearance (y coordinate) which is greater than the other methods so that results have more white color who are represented fog scene. While the comparison of the average authenticity value who are calculated using the AuthESI method show that the algorithm built with Perlin Noise is more effective 6.77% than the algorithm built with Salt and Pepper Noise and 18.73% more effective than the algorithm built with Gaussian Noise as density distribution texture of fog in heterogeneous foggy synthesis images.
Item Type: | Thesis (Undergraduate) | |||||||||
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Supervisor: | Nugroho, Fresy and Imamudin, Mochamad | |||||||||
Contributors: |
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Keywords: | perlin noise; salt and pepper noise; gaussian noise; authESI; histogram; simulasi; simulation | |||||||||
Departement: | Fakultas Sains dan Teknologi > Jurusan Teknik Informatika | |||||||||
Depositing User: | Heni Kurnia Ningsih | |||||||||
Date Deposited: | 30 Apr 2020 14:38 | |||||||||
Last Modified: | 09 Jun 2023 14:40 | |||||||||
URI: | http://etheses.uin-malang.ac.id/id/eprint/15311 |
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