Perceptual activity measures computed from blocks in the transform domain

Yu Hwe Lee, Jar Ferr Yang, Jen Fa Huang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


In this paper, we propose perceptual activity measures, which are computed from weighted transforms of the block, to precisely estimate the sensitivity of blocks. From analysis of principal components of a referred background region, we first suggest a weighted Karhunen-Loeve transformation (KLT) activity measure to characterize the visual variation of the image block. The weighted KLT computed in block-by-block fashions requires large computational complexity. To reduce the computation, we further utilize the first-order Markov's model and discrete cosine transform (DCT) to derive a simplified perceptual activity measure. Simulated results show that the proposed measures achieving precise visual perception can be effectively utilized in many block-based image and video compression systems.

Original languageEnglish
Pages (from-to)693-707
Number of pages15
JournalSignal Processing
Issue number4
Publication statusPublished - 2002 Apr 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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