Abstract
An innovative technique for the interpolative vector quantisation (IVQ) of an image is developed. The technique employs a new split-and-merge algorithm which selects a near-to-optimal set of sampling points for the IVQ. Experimental results show that, under the same bit rate, over 0.5 dB improvement is achieved by the proposed method when compared with the results obtained by the traditional fixed sampling point interpolation in terms of peak signal-to-noise ratio (PSNR).
| Original language | English |
|---|---|
| Pages (from-to) | 940-941 |
| Number of pages | 2 |
| Journal | Electronics Letters |
| Volume | 29 |
| Issue number | 11 |
| Early online date | 1 May 1993 |
| DOIs | |
| Publication status | Published - 27 May 1993 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
User-Defined Keywords
- Image coding
- split/merge algorithm
- peak SNR
- interpolative vector quantisation
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