Lossless compression of medical images using Hilbert scan

Ziguang Sun; Chungui Li; Hao Liu; Zengfang Zhang

doi:10.1117/12.747119

14 November 2007 Lossless compression of medical images using Hilbert scan

Ziguang Sun, Chungui Li, Hao Liu, Zengfang Zhang

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890E (2007) https://doi.org/10.1117/12.747119
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The effectiveness of Hilbert scan in lossless medical images compression is discussed. In our methods, after coding of intensities, the pixels in a medical images have been decorrelated with differential pulse code modulation, then the error image has been rearranged using Hilbert scan, finally we implement five coding schemes, such as Huffman coding, RLE, lZW coding, Arithmetic coding, and RLE followed by Huffman coding. The experiments show that the case, which applies DPCM followed by Hilbert scan and then compressed by the Arithmetic coding scheme, has the best compression result, also indicate that Hilbert scan can enhance pixel locality, and increase the compression ratio effectively.

Citation Download Citation

Ziguang Sun, Chungui Li, Hao Liu, and Zengfang Zhang "Lossless compression of medical images using Hilbert scan", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890E (14 November 2007); https://doi.org/10.1117/12.747119

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KEYWORDS

Image compression

Medical imaging

Computer programming

Data modeling

Image transmission

Raster graphics

Data compression

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