Optimizing the Performance of Halftoning-Based Block Truncation Coding

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Block Truncation Coding (BTC) is an effective lossy image coding technique that enjoys both high efficiency and low complexity especially when halftoning techniques are employed to shape the noise spectrum of its output. However, due to its block-based nature, blocking artifacts are commonly found in the coding outputs. Post-processing schemes are generally applied to soften the problem. Recently, a halftoning-based BTC algorithm was proposed to solve this problem by eliminating the cause of blocking artifacts. In this paper, through an optimization step, the performance of the algorithm is optimized in terms of a given objective measure. The idea can be adopted to work with other halftoning methods to optimize other measures for suiting different needs in different circumstances.

Original languageEnglish
Title of host publication2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1975-1980
Number of pages6
ISBN (Electronic)9789881476852
DOIs
Publication statusPublished - 12 Nov 2018
Event10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
Duration: 12 Nov 201815 Nov 2018

Publication series

Name2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Country/TerritoryUnited States
CityHonolulu
Period12/11/1815/11/18

Keywords

  • block truncation coding
  • blocking effects
  • halftoning
  • optimization

ASJC Scopus subject areas

  • Information Systems

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