15 April 1996 Wavelet quad-tree compression of medical images using JPEG quantization and encoding strategies
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Abstract
Wavelet-based image compression is receiving significant attention because of its potential for good image quality at low bit rates. In this paper, we describe and analyze a lossy wavelet compression scheme that uses direct extensions of the JPEG quantization and Huffman encoding strategies to provide high compression efficiency with reasonable complexity. The focus is on the compression of 12-bit medical images obtained from computed radiography and mammography, but the general methods and conclusions presented in this paper are applicable to a wide range of image types.
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Paul W. Jones, Paul W. Jones, Fleming Yuan Ming Lure, Fleming Yuan Ming Lure, } "Wavelet quad-tree compression of medical images using JPEG quantization and encoding strategies", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); doi: 10.1117/12.238449; https://doi.org/10.1117/12.238449
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