Analisis Perbandingan Kompresi Citra Menggunakan Lempel-Ziv-Markov Chain Algorithm (LZMA) dan Run Length Encoding
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Institusion

Universitas Sumatera Utara

Author

Lubis, Erick Ricardo (STUDENT ID : 111421074)
(LECTURER ID : 0017036205)
(LECTURER ID : 0023078303)

Subject

image compression 

Datestamp

2022-12-15 04:04:33 

Abstract :
This study aims to design a computer application that can compress bmp or png image. Bmp or png image can be compressed using the Lempel-Ziv-Markov chain algorithm (LZMA) and using Run Length Encoding . The output of this application is a new compressed file with the extension ERL. Average compression ratio between the input file with the output file to bmp image using the Lempel-Ziv-Markov chain Algorithm is 81.763% with an average time of 3315.3 milliseconds , while the average compression ratio between the input file with the output file to bmp image using Run Length Encoding is 34.670% with an average time of 5434.8 milliseconds . Average compression ratio between the input file with the output file to png image using the Lempel-Ziv-Markov chain Algorithm is 26.900% with an average time of 1169.3 milliseconds, while the average compression ratio between the input file with the output file to png image using Run Length Encoding is -0.446% with an average time of 1057.3 milliseconds.