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fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/827/</relation><title>PENINGKATAN KUALITAS CITRA BERWARNA MENGGUNAKAN FUZZY LOGIC DAN MODIFIKASI PARTICLE SWARM OPTIMIZATION</title><creator>RAFSANJANI, AHMAD ZIKY</creator><creator>Fachrurrozi, Muhammad</creator><creator>Saputra, Danny Matthew</creator><subject>QA75 Electronic computers. Computer science</subject><description>Decreasing quality of an image occurs in the acquisition process so that the information in image is not conveyed properly. Form of decreasing image quality are overexposed image and underexposed image. The overexposed image and the underexposed image must be manipulated by a method to improve its brightness. Software was built that can improve the brightness of color images using the Fuzzy Logic method and modification of Particle Swarm Optimization (PSO). RGB color space is converted to HSV to maintain chromatic image information. This research uses two thresholds to determine the underexposed and overexposed region. Gaussian membership function is used in the fuzzification process. The sigmoid function is used to increase the value of the gaussian membership function. Modified Particle Swarm Optimization is used to optimize the value of the parameters in the sigmoid function. The results of this study produce a better image than the original image based on qualitative and quantitative assessments.</description><date>2019-07-19</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/8/RAMA_55201_09121002004_0222058001_0010058507_01_FRONT_REF.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/2/RAMA_55201_09121002004_0222058001_0010058507_02.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/3/RAMA_55201_09121002004_0222058001_0010058507_03.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/4/RAMA_55201_09121002004_0222058001_0010058507_04.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/5/RAMA_55201_09121002004_0222058001_0010058507_05.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/6/RAMA_55201_09121002004_0222058001_0010058507_06.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.unsri.ac.id/827/7/RAMA_55201_09121002004_0222058001_0010058507_07_REF.pdf</identifier><identifier> RAFSANJANI, AHMAD ZIKY and Fachrurrozi, Muhammad and Saputra, Danny Matthew (2019) PENINGKATAN KUALITAS CITRA BERWARNA MENGGUNAKAN FUZZY LOGIC DAN MODIFIKASI PARTICLE SWARM OPTIMIZATION. Undergraduate thesis, Sriwijaya University. </identifier><recordID>827</recordID></dc>
language eng
format Thesis:Thesis
Thesis
PeerReview:NonPeerReviewed
PeerReview
Book:Book
Book
author RAFSANJANI, AHMAD ZIKY
Fachrurrozi, Muhammad
Saputra, Danny Matthew
title PENINGKATAN KUALITAS CITRA BERWARNA MENGGUNAKAN FUZZY LOGIC DAN MODIFIKASI PARTICLE SWARM OPTIMIZATION
publishDate 2019
isbn 09121002004
topic QA75 Electronic computers. Computer science
url http://repository.unsri.ac.id/827/8/RAMA_55201_09121002004_0222058001_0010058507_01_FRONT_REF.pdf
http://repository.unsri.ac.id/827/2/RAMA_55201_09121002004_0222058001_0010058507_02.pdf
http://repository.unsri.ac.id/827/3/RAMA_55201_09121002004_0222058001_0010058507_03.pdf
http://repository.unsri.ac.id/827/4/RAMA_55201_09121002004_0222058001_0010058507_04.pdf
http://repository.unsri.ac.id/827/5/RAMA_55201_09121002004_0222058001_0010058507_05.pdf
http://repository.unsri.ac.id/827/6/RAMA_55201_09121002004_0222058001_0010058507_06.pdf
http://repository.unsri.ac.id/827/7/RAMA_55201_09121002004_0222058001_0010058507_07_REF.pdf
http://repository.unsri.ac.id/827/
contents Decreasing quality of an image occurs in the acquisition process so that the information in image is not conveyed properly. Form of decreasing image quality are overexposed image and underexposed image. The overexposed image and the underexposed image must be manipulated by a method to improve its brightness. Software was built that can improve the brightness of color images using the Fuzzy Logic method and modification of Particle Swarm Optimization (PSO). RGB color space is converted to HSV to maintain chromatic image information. This research uses two thresholds to determine the underexposed and overexposed region. Gaussian membership function is used in the fuzzification process. The sigmoid function is used to increase the value of the gaussian membership function. Modified Particle Swarm Optimization is used to optimize the value of the parameters in the sigmoid function. The results of this study produce a better image than the original image based on qualitative and quantitative assessments.
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