Complexity Scalable Bitplane Image Coding with Parallel Coefficient Processing

Carlos De Cea-Dominguez; Joan Bartrina-Rapesta; Francesc Auli-Llinas; Juan Carlos Moure Lopez

doi:10.1109/LSP.2020.2990307

Complexity Scalable Bitplane Image Coding with Parallel Coefficient Processing

Carlos De Cea-Dominguez, Joan Bartrina-Rapesta, Francesc Auli-Llinas^*, Juan Carlos Moure Lopez

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

2 Citations (Scopus)

Abstract

Very fast image and video codecs are a pursued goal both in the academia and the industry. This paper presents a complexity scalable and parallel bitplane coding engine for wavelet-based image codecs. The proposed method processes the coefficients in parallel, suiting hardware architectures based on vector instructions. Our previous work is extended with a mechanism that provides complexity scalability to the system. Such a feature allows the coder to regulate the throughput achieved at the expense of slightly penalizing compression efficiency. Experimental results suggests that, when using the fastest speed, the method almost doubles the throughput of our previous engine while penalizing compression efficiency by about 10%

Original language	American English
Article number	9106385
Pages (from-to)	840-844
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	27
DOIs	https://doi.org/10.1109/LSP.2020.2990307
Publication status	Published - 1 Jan 2020

Keywords

High-throughput image coding
JPEG2000

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10.1109/LSP.2020.2990307

https://ddd.uab.cat/record/234856Licence: C In Copyright

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title = "Complexity Scalable Bitplane Image Coding with Parallel Coefficient Processing",

abstract = "Very fast image and video codecs are a pursued goal both in the academia and the industry. This paper presents a complexity scalable and parallel bitplane coding engine for wavelet-based image codecs. The proposed method processes the coefficients in parallel, suiting hardware architectures based on vector instructions. Our previous work is extended with a mechanism that provides complexity scalability to the system. Such a feature allows the coder to regulate the throughput achieved at the expense of slightly penalizing compression efficiency. Experimental results suggests that, when using the fastest speed, the method almost doubles the throughput of our previous engine while penalizing compression efficiency by about 10%",

keywords = "High-throughput image coding, JPEG2000",

author = "{De Cea-Dominguez}, Carlos and Joan Bartrina-Rapesta and Francesc Auli-Llinas and {Moure Lopez}, {Juan Carlos}",

year = "2020",

month = jan,

day = "1",

doi = "10.1109/LSP.2020.2990307",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - De Cea-Dominguez, Carlos

AU - Bartrina-Rapesta, Joan

AU - Auli-Llinas, Francesc

AU - Moure Lopez, Juan Carlos

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Very fast image and video codecs are a pursued goal both in the academia and the industry. This paper presents a complexity scalable and parallel bitplane coding engine for wavelet-based image codecs. The proposed method processes the coefficients in parallel, suiting hardware architectures based on vector instructions. Our previous work is extended with a mechanism that provides complexity scalability to the system. Such a feature allows the coder to regulate the throughput achieved at the expense of slightly penalizing compression efficiency. Experimental results suggests that, when using the fastest speed, the method almost doubles the throughput of our previous engine while penalizing compression efficiency by about 10%

AB - Very fast image and video codecs are a pursued goal both in the academia and the industry. This paper presents a complexity scalable and parallel bitplane coding engine for wavelet-based image codecs. The proposed method processes the coefficients in parallel, suiting hardware architectures based on vector instructions. Our previous work is extended with a mechanism that provides complexity scalability to the system. Such a feature allows the coder to regulate the throughput achieved at the expense of slightly penalizing compression efficiency. Experimental results suggests that, when using the fastest speed, the method almost doubles the throughput of our previous engine while penalizing compression efficiency by about 10%

KW - High-throughput image coding

KW - JPEG2000

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M3 - Artículo

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SP - 840

EP - 844

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

M1 - 9106385

ER -

Complexity Scalable Bitplane Image Coding with Parallel Coefficient Processing

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Compresión de datos para constelaciones de satélites en la era del Newspace

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Complexity Scalable Bitplane Image Coding with Parallel Coefficient Processing

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Keywords

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Compresión de datos para constelaciones de satélites en la era del Newspace

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