Journal ArticleDOI
Lossy-to-lossless compression of medical volumetric data using three-dimensional integer wavelet transforms
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TLDR
Two state-of-the-art 3-D wavelet video coding techniques are modified and applied to compression of medical volumetric data, achieving the best performance published so far in the literature-both in terms of lossy and lossless compression.Abstract:
We study lossy-to-lossless compression of medical volumetric data using three-dimensional (3-D) integer wavelet transforms. To achieve good lossy coding performance, it is important to have transforms that are unitary. In addition to the lifting approach, we first introduce a general 3-D integer wavelet packet transform structure that allows implicit bit shifting of wavelet coefficients to approximate a 3-D unitary transformation. We then focus on context modeling for efficient arithmetic coding of wavelet coefficients. Two state-of-the-art 3-D wavelet video coding techniques, namely, 3-D set partitioning in hierarchical trees (Kim et al., 2000) and 3-D embedded subband coding with optimal truncation (Xu et al., 2001), are modified and applied to compression of medical volumetric data, achieving the best performance published so far in the literature-both in terms of lossy and lossless compression.read more
Citations
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Book ChapterDOI
Three-Dimensional Wavelet-Based Compression of Hyperspectral Images
Xiaoli Tang,William A. Pearlman +1 more
TL;DR: This chapter proposed a three dimensional set partitioned embedded block coder for hyperspectral image compression that automatically exploits inter-band dependence and provides better performance for lossy representation.
Journal ArticleDOI
Wavelet based volumetric medical image compression
TL;DR: A thorough objective investigation of the performance-complexity trade-offs offered by these techniques on medical data is carried out and a comparison of the presented techniques to H.265/MPEG-H HEVC, which is currently the most state-of-the-art video codec available is provided.
Hyperspectral Image Compression Using Three-Dimensional Wavelet Coding: A Lossy-to-Lossless Solution †
TL;DR: In this paper, an embedded block-based, image wavelet transform coding algorithm of low complexity, 3D-SPECK, has been proposed for 3D volumetric image data.
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Converging Evidence for the Advantage of Dynamic Facial Expressions
TL;DR: Converging data from the experiments and the meta-analyses suggest that dynamic facial stimuli elicit increased activity in regions associated with interpretation of social signals and emotional processing.
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Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures
Mikhail Smelyanskiy,David R. Holmes,Jatin Chhugani,A. Larson,Doug Carmean,Dennis P. Hanson,Pradeep Dubey,Kurt E. Augustine,Daehyun Kim,A. Kyker,Victor W. Lee,Anthony-Trung D. Nguyen,Lauren H. Seiler,Richard A. Robb +13 more
TL;DR: This work describes a thread- and data-parallel implementation of ray-casting that makes it amenable to key architectural trends of three modern commodity parallel architectures: multi-core, GPU, and an upcoming many-core Intelreg architecture code-named Larrabee.
References
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Book
Discrete-Time Signal Processing
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Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
Journal ArticleDOI
Embedded image coding using zerotrees of wavelet coefficients
TL;DR: The embedded zerotree wavelet algorithm (EZW) is a simple, yet remarkably effective, image compression algorithm, having the property that the bits in the bit stream are generated in order of importance, yielding a fully embedded code.
Journal ArticleDOI
Image coding using wavelet transform
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Journal ArticleDOI
Entropy-based algorithms for best basis selection
TL;DR: Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or family of signals, and relies heavily on the remarkable orthogonality properties of the new libraries.
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