IMPLEMENTASI DAN ANALISIS KOMPRESI HYBRID PADA CITRA MEDIS DIGITAL HASIL RONTGEN KANKER PAYUDARA

• Main Authors: Randy Hamzah Hardianto, Ledya Novamizanti, Anggunmeka Luhur Prasasti
• Format: Article
• Language: Indonesian
• Published: Universitas Kristen Duta Wacana 2017-11-01
• Series: JUTEI (Jurnal Terapan Teknologi Informasi)
• Subjects: Compression; Medical Image; Two Dimensional Discrete Cosine Transform (2D DCT); Huffman Transform
• Online Access: https://jutei.ukdw.ac.id/index.php/jurnal/article/view/39

Digital image compression is an attempt to transform the data or symbols of composing digital images into data or other symbols without causing significant changes in the digital image to the human views. The goal is to reduce the redundancy of the data contained in the image so it can be stored or transmitted efficiently. Breast cancer is one of the greatest cancer cases in Indonesia which requires so many digital data x-rays. This research is intended to compress digital X-ray images of breast cancer with more efficient size without altering or reducing its information and it still can be assessed by human view. Using hybrid compression method, they are 2D DCT (Two Dimensional Discret Cosine Transform) and Huffman Method, Medical expert gave 3 of 4 rate when it reach 34.36% compression ratio with 40dB PSNR. This test result used 0 till 3 depth of zero in 2D DCT quantization process.