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Bitplane image coding with parallel coefficient processing
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Auli-Llinas, Francesc, Enfedaque, Pablo, Moure, Juan C. and Sanchez Silva, Victor (2016) Bitplane image coding with parallel coefficient processing. IEEE Transactions on Image Processing, 25 (1). pp. 209-219. doi:10.1109/TIP.2015.2484069 ISSN 1057-7149.
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WRAP_1173241-cs-040416-bpcpaco_revised.pdf - Accepted Version - Requires a PDF viewer. Download (895Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TIP.2015.2484069
Abstract
Image coding systems have been traditionally tailored for multiple instruction, multiple data (MIMD) computing. In general, they partition the (transformed) image in codeblocks that can be coded in the cores of MIMD-based processors. Each core executes a sequential flow of instructions to process the coefficients in the codeblock, independently and asynchronously from the others cores. Bitplane coding is a common strategy to code such data. Most of its mechanisms require sequential processing of the coefficients. The last years have seen the upraising of processing accelerators with enhanced computational performance and power efficiency whose architecture is mainly based on the single instruction, multiple data (SIMD) principle. SIMD computing refers to the execution of the same instruction to multiple data in a lockstep synchronous way. Unfortunately, current bitplane coding strategies cannot fully profit from such processors due to inherently sequential coding task. This paper presents bitplane image coding with parallel coefficient (BPC-PaCo) processing, a coding method that can process many coefficients within a codeblock in parallel and synchronously. To this end, the scanning order, the context formation, the probability model, and the arithmetic coder of the coding engine have been re-formulated. The experimental results suggest that the penalization in coding performance of BPC-PaCo with respect to the traditional strategies is almost negligible.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Image compression -- Standards | ||||||||
Journal or Publication Title: | IEEE Transactions on Image Processing | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1057-7149 | ||||||||
Official Date: | January 2016 | ||||||||
Dates: |
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Volume: | 25 | ||||||||
Number: | 1 | ||||||||
Number of Pages: | 11 | ||||||||
Page Range: | pp. 209-219 | ||||||||
DOI: | 10.1109/TIP.2015.2484069 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 14 April 2016 | ||||||||
Date of first compliant Open Access: | 14 April 2016 |
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