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Proceedings Paper

Integer-based wavelet transform coding for near-lossless compression of medical images
Author(s): Chang Beom Ahn; H. H. Koh; Y. H. Ahn; Y. C. Song
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Paper Abstract

A unified lossless and lossy compression algorithm is proposed using integer-based reversible wavelet transforms. The proposed algorithm is based on improved pre-quantization, integer-based wavelet transform, and bit plane coding of wavelet bands with QM coder. From simulation, reconstructed image by the proposed algorithm shows higher peak signal-to- noise ratio (PSNR) compared to those obtained by float-point- based wavelet transform (Daubechies) and the JPEG. Peak errors in the reconstructed images by the integer-based wavelet transform are also much lower than those obtained by the JPEG and the float-point-based wavelet coding. In near lossless compression, lossless encoding of the wavelet coefficients of the pre-quantized image shows higher PSNR than those with the bit rate control by the bit plane-band ordering of the wavelet coefficients of the original image without pre-quantization. Using pre-quantization, peak error can also be uniquely controlled, which may be an important feature in medical image compression.

Paper Details

Date Published: 26 June 1998
PDF: 10 pages
Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); doi: 10.1117/12.312531
Show Author Affiliations
Chang Beom Ahn, Kwangwoon Univ. (South Korea)
H. H. Koh, Kwangwoon Univ. (South Korea)
Y. H. Ahn, Kwangwoon Univ. (South Korea)
Y. C. Song, Kwangwoon Univ. (South Korea)


Published in SPIE Proceedings Vol. 3335:
Medical Imaging 1998: Image Display
Yongmin Kim; Seong Ki Mun, Editor(s)

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