Open AccessPengujian Metode Kuantitasi Untuk Melakukan Kompresi Citra RGB
Author(s) -
Pilipus Tarigan,
Zekson Arizona Matondang
Publication year - 2021
Publication title -
jurnal komputer dan informatika
Language(s) - English
Resource type - Journals
ISSN - 2722-4368
DOI - 10.53842/juki.v1i2.20
Subject(s) - lossy compression , file size , computer science , quantization (signal processing) , rgb color model , image file formats , image (mathematics) , computer vision , image compression , matrix (chemical analysis) , computer graphics (images) , artificial intelligence , image processing , materials science , composite material , operating system
At present the use of RGB images is a necessity in various fields. However, its use is constrained by a large file capacity, but it is possible to compress the image that is owned as needed. With the quantization method, the R matrix, the G matrix and the B matrix will be reduced, so that the number of bits used to represent the image will be reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so the compressed image cannot be decompressed again because there is information missing.