Adaptive grayscale image coding scheme based on dynamic multi-grouping absolute moment block truncation coding

Jun Chou Chuang, Yu Chen Hu, Chia Mei Chen, Zhaoxia Yin

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Multi-Grouping Absolute Moment Block Truncation Coding (MGAMBTC) technique improve the image quality of Absolute Moment Block Truncation Coding (AMBTC) by adaptively dividing pixels in a block into groups according to block activity. This study found that the bit rate can be reduced further if there is some similarity among the blocks. Therefore, this study proposes a block prediction scheme that exploits the intra-block similarity of neighboring blocks. If a similar encoded block is found, its position code will be stored to encode the block; otherwise, it is encoded with the proposed improved MGAMBTC (iMGAMBTC). The proposed iMGAMBTC employs an entropy-based indicator generation mechanism to reduce the bit rate, and the evaluation demonstrates that the proposed scheme enhances the compression performance of AMBTC and MGAMBTC efficiently.

Original languageEnglish
Pages (from-to)28189-28205
Number of pages17
JournalMultimedia Tools and Applications
Volume79
Issue number37-38
DOIs
StatePublished - 1 Oct 2020
Externally publishedYes

Keywords

  • Absolute moment block truncation coding
  • Adaptive pixel grouping
  • Block prediction technique
  • Entropy coding
  • Image compression

Fingerprint

Dive into the research topics of 'Adaptive grayscale image coding scheme based on dynamic multi-grouping absolute moment block truncation coding'. Together they form a unique fingerprint.

Cite this