Analisis Kualitas Visual pada Hasil Citra Kompresi dengan Menggunakan Metode Run Length Encoding (RLE)
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Institusion
Universitas Sumatera Utara
Author
Seftiani, Adinda Reny (STUDENT ID : 071402043)
(LECTURER ID : 0010037104)
(LECTURER ID : 0031087905)
(LECTURER ID : 0010037104)
(LECTURER ID : 0031087905)
Subject
Datestamp
2022-12-14 06:39:26
Abstract :
Compression method is a process to reduces data size in order to produces compressed digital representation that still represent its quality of information. With the high resolution does not guarantee high quality, even a large storage area is needed. In this method does not lose any information. In this study we analyze the result of visual quality image compression by using Run Length Encoding (RLE) where the use of subjective criteria analysis parameters and objective criteria. Once implemented and analyzed, based on subjective criteria the result of comparison .BMP and .RLE image files no change in the quality of image formats. While based on objective criteria through a mathematical approach that the MD5SUM field produces no difference values at baseline and after RLE compression process and there is no difference (NO DIFF) between the intial file and the file after compression. In RLE analysis of based on comparative analysis parameters obtained for the conclusion that the color white, gray and black has a compression ratio of 1.17 % because it has the same degree of gray. While the colors red, green and blue have a ratio of 100 % which means can not be compressed. For the ratio of Peak-Signal-Noise-Ratio (PSNR) can not be defined, because the value of its MSE is 0 due to the quality of the image unchanged.
Compression method is a process to reduces data size in order to produces compressed digital representation that still represent its quality of information. With the high resolution does not guarantee high quality, even a large storage area is needed. In this method does not lose any information. In this study we analyze the result of visual quality image compression by using Run Length Encoding (RLE) where the use of subjective criteria analysis parameters and objective criteria. Once implemented and analyzed, based on subjective criteria the result of comparison .BMP and .RLE image files no change in the quality of image formats. While based on objective criteria through a mathematical approach that the MD5SUM field produces no difference values at baseline and after RLE compression process and there is no difference (NO DIFF) between the intial file and the file after compression. In RLE analysis of based on comparative analysis parameters obtained for the conclusion that the color white, gray and black has a compression ratio of 1.17 % because it has the same degree of gray. While the colors red, green and blue have a ratio of 100 % which means can not be compressed. For the ratio of Peak-Signal-Noise-Ratio (PSNR) can not be defined, because the value of its MSE is 0 due to the quality of the image unchanged.
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