A new fast approach of single-pass perceptual embedded zero-tree coding

Bing-Fei Wu, Hao Yu Huang, Yen Lin Chen*, Chin Ming Hsieh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This paper proposes a block-edge based Single-Pass Perceptual Embedded Zero-tree Coding (SPPEZC) method. The SPPEZC approach integrates two novel compression concepts, the Block-Edge Detection (BED) and Low-Complexity and Low-Memory Entropy Coder (LLEC) for coding efficiency and quality. Since the information from the edge information can provide beneficial cue for preserving the perceptual quality of compressed images, this paper presents an effective combinative coding scheme, named Single- Pass Perceptual Embedded Zero-tree Coding (SPPEZC), which integrates the improved LLEC and the block edge information, to provide better perceptual quality on compressed images. Based on the block edge information, this paper proposes an adaptive architecture for adjusting the quantization table and then codes the quantized coefficients with the LLEC. Experimental results and comparisons demonstrate that the proposed SPPEZC technique can provide both computational efficiency and satisfactory perceptual quality on compressed images.

Original languageEnglish
Pages (from-to)2523-2530
Number of pages8
JournalICIC Express Letters
Issue number8 A
StatePublished - 1 Aug 2011


  • Block edge classification
  • Computational complexity
  • Discrete cosine transform (DCT)
  • Fast algorithm
  • Image compression
  • Zerotree coding


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