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All Journal JUITA : Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) Jurnal Teknologi dan Bisnis
Aznar Abdillah, Muhamad
Magister Teknik Informatika Universitas Ahmad Dahlan
Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : JUITA : Jurnal Informatika

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Compression Analysis Using Coiflets, Haar Wavelet, and SVD Methods Muhamad Aznar Abdillah; Anton Yudhana; Abdul Fadlil
JUITA : Jurnal Informatika JUITA Vol. 9 No. 1, May 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1081.276 KB) | DOI: 10.30595/juita.v9i1.8559

Abstract

The image problem lies in the amount of storage space required, to save memory as little as possible image compression is required. The image compression technique is a technique used to represent an image by reducing the quality of the original image but still retaining the information inside. This study compares the best compression method between Coiflets, Haar wavelets, and SVD with JPG image material. The comparison process has done by calculating the compression ratio (CR), Space Saving (SS), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Peak Signal to Noise Ratio (PSNR). The results obtained prove that the SVD method has the highest compression ratio of 3.25 while in the case of Space Saving (SS) the Coiflets method gives the best performance with a value of 73. Measurement in terms of MSE and RMSE is the best for the Coiflets method because it has an average value. -The smallest average among all methods is 0.02395 and 0.111383. provides the best performance in maintaining compression quality. The best PSNR based image quality assessment is the Coiflets method with the highest PSNR average of 63.02 dB. Overall, the Coiflets, Haar wavelet, and SVD compression methods used for JPG images can reduce file size and preserve image information and quality.
Co-Authors Abdul Fadlil Abdul Fadlil Anton Yudhana Edy Sahputro, Slamet Cahyo Niko Fernanda, Edgar