Paper
26 June 1998 Integer-based wavelet transform coding for near-lossless compression of medical images
Chang Beom Ahn, H. H. Koh, Y. H. Ahn, Y. C. Song
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chang Beom Ahn, H. H. Koh, Y. H. Ahn, and Y. C. Song "Integer-based wavelet transform coding for near-lossless compression of medical images", Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); https://doi.org/10.1117/12.312531
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KEYWORDS
Image compression

Wavelets

Wavelet transforms

Computer programming

Transform theory

Medical imaging

Visualization

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