Design of Adaptive Quantization Tables and Huffman Tables for JPEG Compression of Medical Images 


Vol. 29,  No. 6, pp. 824-833, Jun.  2004


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  Abstract


Due to the bandwidth and storage limitations, medical images are needed to be compressed before transmission and storage. DICOM (Digital Imaging and Communications in Medicine) specification, which is the medical images standard, provides a mechanism for supporting the use of JPEG still image compression standard. In this paper, we explain a method for compressing medical images by JPEG standard and propose two methods for JPEG compression. First, because medical images differ from natural images in optical feature, we propose a method to design adaptively the quantization table using spectrum analysis. Second, because medical images have higher pixel depth than natural images do, we propose a method to design Huffman table which considers the probability distribution feature of symbols. Therefore, we propose methods to design a quantization table and Huffman table suitable for medical images. Simulation results show the improved performance compared to the quantization table and the adjusted Huffman table of JPEG standard. Proposed methods which are satisfied JPEG Standard, can be applied to PACS (Picture Archiving and Communications System).

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  Cite this article

[IEEE Style]

S. Yang, J. Jeong, S. K. Park, "Design of Adaptive Quantization Tables and Huffman Tables for JPEG Compression of Medical Images," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 6, pp. 824-833, 2004. DOI: .

[ACM Style]

Siyoung Yang, Jechang Jeong, and Sang Kyu Park. 2004. Design of Adaptive Quantization Tables and Huffman Tables for JPEG Compression of Medical Images. The Journal of Korean Institute of Communications and Information Sciences, 29, 6, (2004), 824-833. DOI: .

[KICS Style]

Siyoung Yang, Jechang Jeong, Sang Kyu Park, "Design of Adaptive Quantization Tables and Huffman Tables for JPEG Compression of Medical Images," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 6, pp. 824-833, 6. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880