• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
Graphics and Images

Color image compression based on multi-grouping absolute moment block truncation coding and sort mapping

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  • (School of Computer Science,School of Cyber Science and Engineering,
    Nanjing University of Information Science & Technology,Nanjing 210044,China)

Received date: 2024-04-29

  Revised date: 2024-10-22

  Online published: 2026-04-30

Abstract

Digital images, as an important carrier, have been applied in various fields. The generation of many color images occupies a large amount of storage space and network bandwidth. Therefore, color image compression has become a key technology. Absolute Moment Block Truncation Coding (AMBTC), as one of the classic image compression schemes, has been widely studied. However, in existing related schemes, the visual quality and compression rate of reconstructed images are relatively low. To address this problem, a color image compression method based on multi-grouping absolute moment block truncation coding (MGAMBTC) and sort mapping is proposed. The sort mapping algorithm is proposed by utilizing the feature of multiple quantization levels in MGAMBTC. By reordering the quantization levels and mapping them onto the first few bits of the bitmap, the bitmap is compressed. This scheme achieves higher visual quality of reconstructed images than other schemes at the same bit rate. At the same time, the effectiveness of the sort mapping algorithm is demonstrated in experiments. 

Cite this article

ZHANG Mengtao, XIONG Lizhi . Color image compression based on multi-grouping absolute moment block truncation coding and sort mapping[J]. Computer Engineering & Science, 2026 , 48(4) : 667 -675 . DOI: 10.3969/j.issn.1007-130X.2026.04.011

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