Localization of sampling points for interpolative VQ of images

Pong Chi Yuen*, W. F. Lee

*Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

Abstract

A sampling point detection algorithm for Interpolative Vector Quantization (IVQ) applied in image coding is developed and reported in this paper. The algorithm employs an optimal discontinuity detector to locate first order discontinuities which efficiently characterizes a scan line. Using the detected first order discontinuities as the initial guess, the final set of interpolating points is obtained using a Modified Split-&-Merge algorithm. Experimental results show that, under the same bit-rate, an average of 0.5 dB improvement is achieved by our proposed method when compared with the results obtained by the traditional IVQ in terms of Peak Signal-to-Noise Ratio (PSNR).

Original languageEnglish
Pages771-775
Number of pages5
Publication statusPublished - 1995
EventProceedings of the 1994 IEEE Region 10's 9th Annual International Conference (TENCON'94). Part 1 (of 2) - Singapore, Singapore
Duration: 22 Aug 199426 Aug 1994

Conference

ConferenceProceedings of the 1994 IEEE Region 10's 9th Annual International Conference (TENCON'94). Part 1 (of 2)
CitySingapore, Singapore
Period22/08/9426/08/94

Scopus Subject Areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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