Алгоритм сжатия гиперспектральных изображений SPIHT-3D с применением вейвлет-преобразования
, 2020 Представлена реализация алгоритма сжатия гиперспектральных изображений SPIHT-3D с применением вейвлет преобразования.
Свирский, С. Н.
core
SPIHT-NC: Network-Conscious Zerotree Encoding
, 2000 Wavelet zerotree encoding has been proven to be an efficient way of compressing still images. Two well-known zerotree encoding algorithms, Embedded Zerotree Encoding (EZW) and Set Partitioning in Hierarchical Trees (SPIHT), provide excellent ...
Sami Iren, Paul D. Amer
core
In this thesis, first, the Haar transform is presented. Then, the basic concepts and data structures necessary for understanding the SPIHT algorithm are explained. Pseudocode implementations of encoding and decoding are presented. Their functioning is illustrated with an example. The algorithm is implemented and tested on different images.
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Embedded Coding of Astronomical Images
Acta Polytechnica, 2006 Recursive partitioning of significant wavelet sub-bands (RPSWS) is an embedded rate scalable wavelet-based image coding algorithm. The RPSWS coder produces a fully embedded bit stream and encodes the image to exactly the desired bit rate (precise rate ...
F. I. Y. Elnagahy +5 more
doaj
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. [PDF]
J Digit Imaging, 2020 Sharma U, Sood M, Puthooran E.
europepmc +1 more source
, 1997 The SPIHT (set partitioning in hierarchical trees) algorithm by Said and Pearlman is known to have produced some of the best results in still image coding. It is a fully embeded wavelet coding algorithm with precise rate control and low complexity.
William A. Pearlman, Beong-jo Kim
core
A Novel Image Processing Approach to Enhancement and Compression of X-ray Images. [PDF]
Int J Environ Res Public Health, 2021 Pourasad Y, Cavallaro F.
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Underwater Image Transmission Using Spatial Modulation Unequal Error Protection for Internet of Underwater Things. [PDF]
Sensors (Basel), 2019 Esmaiel H +4 more
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Machine Learning-Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering. [PDF]
Healthc Technol LettRezakhani Taleghani M, Grailu H.
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Implementation and Evaluation of Vision-Based Sensor Image Compression for Close-Range Photogrammetry and Structural Health Monitoring. [PDF]
Sensors (Basel), 2020 Ngeljaratan L, Moustafa MA.
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