A new adaptive interframe transform coding using directional classification

Yui Lam Chan, Wan Chi Siu

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)


Interframe transform coding is affected not only by the statistics of spatial details within a frame, but also by the variation of the amount of movement and other temporal activities in different regions of the image sequence. Therefore, adaptive techniques have to be used in order to achieve good image quality. In this paper, we propose a new version of the adaptive interframe coding method, namely directional classification, which is based on image sequence statistics. Blocks with different perceptual features such as edges and high motion activity are categorised to different classes. Then, a new adaptive quantization, associated with appropriate scanning and Huffman coding, are employed based on the classification map. Coding tests using computer simulation show this technique is indeed very efficient.
Original languageEnglish
Article number413501
Pages (from-to)977-981
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Publication statusPublished - 1 Jan 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, United States
Duration: 13 Nov 199416 Nov 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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