Three-dimensional SPIHT coding of volume images with random access and resolution scalability
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This paper presents a major extension of the 3D-SPIHT (set partitioning in hierarchical trees) image compression algorithm that enables random access decoding of any specified region of the image volume at a given spatial resolution and given bit rate from a single codestream.Abstract:Â
End users of large volume image datasets are often interested only in certain features that can be identified as quickly as possible. For hyperspectral data, these features could reside only in certain ranges of spectral bands and certain spatial areas of the target. The same holds true for volume medical images for a certain volume region of the subject's anatomy. High spatial resolution may be the ultimate requirement, but in many cases a lower resolution would suffice, especially when rapid acquisition and browsing are essential. This paper presents a major extension of the 3D-SPIHT (set partitioning in hierarchical trees) image compression algorithm that enables random access decoding of any specified region of the image volume at a given spatial resolution and given bit rate from a single codestream. Final spatial and spectral (or axial) resolutions are chosen independently. Because the image wavelet transform is encoded in tree blocks and the bit rates of these tree blocks are minimized through a rate-distortion optimization procedure, the various resolutions and qualities of the images can be extracted while reading a minimum amount of bits from the coded data. The attributes and efficiency of this 3D-SPIHT extension are demonstrated for several medical and hyperspectral images in comparison to the JPEG2000 Multicomponent algorithm.read more
Citations
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Journal ArticleDOI
Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding
TL;DR: This paper focuses on the optimization of a full wavelet compression system for hyperspectral images and shows that a specific fixed decomposition significantly improves the classical isotropic decomposition.
Proceedings ArticleDOI
Tensor completion for on-board compression of hyperspectral images
TL;DR: A new image compression scheme for hyperspectral images based on the newly-emerged matrix/tensor completion theory that can drastically reduce the computation and bandwidth requirements on the on-board imaging sensors.
Book ChapterDOI
Hyperspectral Data Compression Tradeoff
TL;DR: A number of challenges remain, of which the most important is to find an easier way to qualify the different algorithm proposals, and the different possible tradeoffs are explored.
Book
Digital Signal Compression: Principles and Practice
William A. Pearlman,Amir Said +1 more
TL;DR: This book contains a wealth of illustrations, step-by-step descriptions of algorithms, examples and practice problems, which make it an ideal textbook for senior undergraduate and graduate students, as well as a useful self-study tool for researchers and professionals.
Book
Image Wavelet Coding Systems
William A. Pearlman,Amir Said +1 more
TL;DR: A modification of the tree-based coding in SPIHT (Set Partitioning In Hierarchical Trees) is described, whose output bitstream can be decoded partially corresponding to a designated region of interest and is simultaneously quality and resolution scalable.
References
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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.
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Image coding using wavelet transform
TL;DR: A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed and it is shown that the wavelet transform is particularly well adapted to progressive transmission.
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TL;DR: This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
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High performance scalable image compression with EBCOT
TL;DR: A new image compression algorithm is proposed, based on independent embedded block coding with optimized truncation of the embedded bit-streams (EBCOT), capable of modeling the spatially varying visual masking phenomenon.
Proceedings ArticleDOI
High performance scalable image compression with EBCOT
TL;DR: A new image compression algorithm is proposed, based on independent embedded block coding with optimized truncation of the embedded bit-streams (EBCOT), capable of modeling the spatially varying visual masking phenomenon.
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