Image compression using improved hybrid classified vector quantisation

A. J. Hussain, A. Al-Fayadh, D. Al-Jumeily, P. Lisboa, P. Liatsis

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A novel image compression technique using classified vector quantiser and singular value decomposition is proposed for the efficient representation of still images. The proposed method is called improved hybrid classified vector quantisation. The proposed technique was benchmarked with the standard vector quantiser generated using the k-means algorithm, and JPEG-2000. Simulation results indicate that the proposed approach alleviates edge degradation and can reconstruct good visual quality images with higher peak signal-to-noise ratio than the benchmarked techniques.

Original languageBritish English
Pages (from-to)385-387
Number of pages3
JournalElectronics Letters
Issue number7
StatePublished - 2007


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