Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (13): 2361-2364.doi: 10.3969/j.issn.1673-8225.2010.13.021

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Encoding medical image based on embedded zero-tree wavelet

Wang Shi-gang1, You Min-juan2   

  1. 1 College of Radiology, Taishan Medical University, Taian   271016, Shandong Province, China; 2 Information Center of Shandong Medical Technician College, Taian   271016, Shandong Province, China
  • Online:2010-03-26 Published:2010-03-26
  • About author:Wang Shi-gang★, Master, Lecturer, College of Radiology, Taishan Medical University, Taian 271016, Shandong Province, China fsxywsg@163.com

Abstract:

BACKGROUND: Medical digital image must be a high-quality, high resolution, large amounts of data. Such an enormous amount of data is not conducive to the operation of Picture Achieving and Communication System (PACS) and digital hospital, telemedicine implementation. Therefore, image compression becomes an important issue to PACS.
OBJECTIVE: To analyze the zero-tree wavelet coding algorithm and program for the medical digital image compression, to enable it to meet the medical image transmission and diagnostic requirements.
METHODS: Using embedded zero-tree wavelet coding algorithm, wavelets and the layers of wavelet transform were presented, and the medical digital image compression was achieved.
RESULTS AND CONCLUSION: Choosing pairs of orthogonal wavelets for medical image compression four-layer wavelet transform obtained a higher PSNR, and achieved good compression.

CLC Number: