The Single-Pass Perceptual Embedded Zero-tree Coding implementation and optimization on DSP

Bing-Fei Wu, Hao Yu Huang, Jenq Haur Wang, Yen Lin Chen*

*Corresponding author for this work

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

Abstract

In this paper, a block-edge based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method is proposed and implemented on the DSP-based platform. SPPEZC combines two novel compression concepts which are Block-Edge Detection (BED) and Low-Complexity and Low-Memory Entropy Coder (LLEC) for the coding efficiency and quality. Besides, the proposed SPPEZC is implemented as fixed-point version and optimized on the DSP-based platform based on both the presented platform-independent and platform-dependent optimization technologies. The performance including compression quality and efficiency is validated by experimental results.

Original languageEnglish
Title of host publicationInnovation for Applied Science and Technology
Pages2115-2119
Number of pages5
DOIs
StatePublished - 20 Feb 2013
Event2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012 - Kaohsiung, Taiwan
Duration: 2 Nov 20126 Nov 2012

Publication series

NameApplied Mechanics and Materials
Volume284-287
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
Country/TerritoryTaiwan
CityKaohsiung
Period2/11/126/11/12

Keywords

  • Computational complexity
  • Embedded system
  • Image compression
  • Optimization

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