Efficient implementation of 3D listless SPECK

Ruzelita Ngadiran, Said Boussakta, Bayan Sharif, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

This paper proposes an efficient algorithm for 3D image compression based on Set Partitioned Embedded Block Coding (SPECK). The new algorithm operates without a linked list and is suitable for implementation via hardware applications. 3D listless SPECK has a fixed, predetermined memory requirement that is larger than that required for the image alone. In the new developed algorithm, instead of a list, a state table with four bits per coefficient keeps track of the set partitions and the information that has been encoded. Sparse marking is applied to the selected block nodes of insignificant blocks in the state table. In this way, a large group of predictable insignificant coefficients can be identified and skipped during the coding process. The performance of the proposed listless algorithm is compared with 3D SPECK and the results obtained suggest that the proposed algorithm performs better for several images at various bit rates.

Original languageBritish English
Title of host publicationInternational Conference on Computer and Communication Engineering, ICCCE'10
DOIs
StatePublished - 2010
EventInternational Conference on Computer and Communication Engineering, ICCCE'10 - Kuala Lumpur, Malaysia
Duration: 11 May 201012 May 2010

Publication series

NameInternational Conference on Computer and Communication Engineering, ICCCE'10

Conference

ConferenceInternational Conference on Computer and Communication Engineering, ICCCE'10
Country/TerritoryMalaysia
CityKuala Lumpur
Period11/05/1012/05/10

Keywords

  • 3D images
  • Listless implementation
  • Set partitioned embedded block coding (SPECK)

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