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All Journal Majalah Ilmiah Teknologi Elektro Majalah Ilmiah Teknologi Elektro
I Gusti Ayu Garnita Darma Putri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Kompresi Citra Medis dengan DWT dan Variable Length Code I Gusti Ayu Garnita Darma Putri; Nyoman Putra Sastra; I Made Oka Widyantara; Dewa Made Wiharta
Jurnal Teknologi Elektro Vol 20 No 2 (2021): (Juli-Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i02.P02

Abstract

This paper designed a medical image compression scheme using DWT with mother wavelet Coiflet and Symlet. Thresholding and quantization process are the key to lossy compression in this scheme, and the outputs will be coded with Huffman or Arithmetic coding. There are four different codec combinations namely: Coiflet-Huffman, Coiflet-Arithmetic, Symlet-Huffman, Symlet-Arithmetic. Compression performance of each codec will be analyzed based on PSNR and compression ratio. The compression testing used 3 grayscale medical images with dimension of 160x160 pixels. The most optimal PSNR dan rate are produced by Symlet-Aritchmetic codec with recommendation threshold value less than 12. Threshold value above 12 causes PSNR of the reconstruction image will be below the minimum PSNR stardard for digital image, which is of 30dB.
Kompresi Citra Medis dengan DWT dan Variable Length Code I Gusti Ayu Garnita Darma Putri; Nyoman Putra Sastra; I Made Oka Widyantara; Dewa Made Wiharta
Jurnal Teknologi Elektro Vol 20 No 2 (2021): (Juli-Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2021.v20i02.P02

Abstract

This paper designed a medical image compression scheme using DWT with mother wavelet Coiflet and Symlet. Thresholding and quantization process are the key to lossy compression in this scheme, and the outputs will be coded with Huffman or Arithmetic coding. There are four different codec combinations namely: Coiflet-Huffman, Coiflet-Arithmetic, Symlet-Huffman, Symlet-Arithmetic. Compression performance of each codec will be analyzed based on PSNR and compression ratio. The compression testing used 3 grayscale medical images with dimension of 160x160 pixels. The most optimal PSNR dan rate are produced by Symlet-Aritchmetic codec with recommendation threshold value less than 12. Threshold value above 12 causes PSNR of the reconstruction image will be below the minimum PSNR stardard for digital image, which is of 30dB.
Co-Authors Dewa Made Wiharta I Made Oka Widyantara Nyoman Putra Sastra