A COMPARATIVE STUDY BETWEEN TWO HYBRID MEDICAL IMAGE COMPRESSION METHODS

AZARIA, CLARISSA PHILANA SHOPIA (2014) A COMPARATIVE STUDY BETWEEN TWO HYBRID MEDICAL IMAGE COMPRESSION METHODS. Tugas Akhir (S1) - thesis, Universitas Bakrie.

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Abstract

In the medical community, it is still discussion whether to apply lossy or loss- less compression methods since each has its own advantages and weaknesses. Then the idea of combining both methods arises to achieve higher compres- sion rate for transmission and storage e�ciency without discarding important medical information. This combination is called hybrid method. This research aimed to compare two hybrid medical image compression methods by applying them into the same data set. The hybrid medical image compression methods were vector quantization with variable block sizes in wavelet domain (VQ- wavelet) and DCT-based subband decomposition and modi�ed SPIHT data organization (DCT-SPIHT). Seven metrics were used to objectively evaluate the compressed images; entropy, computation time, mean square error (MSE), peak signal to noise ratio (PSNR), structural similarity (MSSIM), normalized cross correlation (NCC), and image quality index. Simulation results showed that DCT-SPIHT is the best method which is supported by fast computation time, lower MSE, higher PSNR, and almost perfect value of MSSIM, NCC, and image quality index.

Item Type:	Thesis (Tugas Akhir (S1) - )
Uncontrolled Keywords:	hybrid medical image compression method, discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT), vector quantization (VQ), wavelet transform
Subjects:	Management Research > New Product Development Service Quality Technology > TD Environmental technology. Sanitary engineering
Divisions:	Fakultas Teknik dan Ilmu Komputer > Program Studi Informatika
Depositing User:	Irfan Saleh
Date Deposited:	16 Sep 2026 10:08
Last Modified:	16 Sep 2026 10:08
URI:	https://repository.bakrie.ac.id/id/eprint/14903

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