An adaptive 3-D discrete cosine transform coder for medical image compression

Shen Chuan Tai, Yung Gi Wu, Chang Wei Lin

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

In this communication, a new three-dimensional (3-D) discrete cosine transform (DCT) coder for medical images is presented. In the proposed method, a segmentation technique based on the local energy magnitude is used to segment subblocks of the image into different energy levels. Then, those subblocks with the same energy level are gathered to form a 3-D cuboid. Finally, 3-D DCT is employed to compress the 3-D cuboid individually. Simulation results show that the reconstructed images achieve a bit rate lower than 0.25 bit per pixel even when the compression ratios are higher than 35. As compared with the results by JPEG and other strategies, it is found that the proposed method achieves better qualities of decoded images than by JPEG and the other strategies. Index Terms-Discrete cosine transform (DCT), medical image compression, segmentation, 3-D DCT.

Original languageEnglish
Pages (from-to)259-263
Number of pages5
JournalIEEE Transactions on Information Technology in Biomedicine
Volume4
Issue number3
DOIs
Publication statusPublished - 2000 Sep

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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