TITLE:      Three-Dimensional Image Compression using Integer Wavelet Transforms
AUTHORS:    A. Bilgin, G. Zweig, and M. W. Marcellin
JOURNAL:    Applied Optics: Information Processing,
	    Special Issue on Information Theory in Optoelectronic Systems
ABSTRACT:
A three-dimensional (3-D) image compression algorithm based on integer wavelet transforms and zerotree coding is
presented. The embedded coding of zerotrees of wavelet coefficients (EZW) algorithm is extended to three dimensions and
context-based adaptive arithmetic coding is used to improve its performance. The resultant algorithm, 3-D CB-EZW, efficiently
encodes 3-D image data by exploitation of the dependencies in all dimensions, while enabling lossy and lossless decompression from
the same bitstream. Compared with the best available two-dimensional lossless compression techniques, the 3-D CB-EZW algorithm
produced averages of 22%, 25%, and 20% decreases in compressed file sizes for computed tomography, magnetic resonance, and
Airborne Visible Infrared Imaging Spectrometer (AVIRIS) images, respectively. The progressive performance of the algorithm is also
compared to other lossy progressive-coding algorithms.