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PENERAPAN DISCRETE COSINE TRANSFORM (DCT) TERHADAP KOMPRESI CITRA DIGITAL
Author(s) -
Bayu Dwi Raharja
Publication year - 2021
Publication title -
indonesian journal of business intelligence (ijubi)
Language(s) - English
Resource type - Journals
eISSN - 2621-3923
pISSN - 2621-3915
DOI - 10.21927/ijubi.v4i1.1790
Subject(s) - lossy compression , discrete cosine transform , lossless compression , jpeg , computer science , image compression , file size , image file formats , data compression , computer vision , transform coding , artificial intelligence , image (mathematics) , image processing , operating system
Image compression is a process that can reduce image size. In general, there are two types, lossless compression and loss compression. The method usually used in the JPEG standard is lossy compression, which removes some of the image information and takes advantage of the weakness in the insensitivity of the human eye in recognizing color gradations. With such large storage, data transfer or exchange is also increasingly difficult, especially data exchange using small storage areas. Tools that usually limit the size of storage for exchanging data. From the existing results using the DCT method is able to compress files up to 96%. Can be seen from the overall file average up to 74%

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