A hybrid image compression scheme using HVS characteristics: combining SPIHT- and SOFM-based vector quantisation
by Chandan Singh D. Rawat; Sukadev Meher
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 5, No. 3, 2012

Abstract: Nowadays, developing hybrid schemes for effective image compression has gained enormous popularity among researchers. A hybrid scheme combining Kohonen's Self Organising Feature Map (SOFM) based Vector Quantisation (VQ) coding and Set Partitioning In Hierarchical Trees (SPIHT) coding for effective compression of images is proposed. This paper embeds Human Visual System (HVS) into SPIHT algorithm to proffer different perceptual weights to different image blocks. The SPIHT coder results with a bit stream, which is then fed to the SOFM, based VQ coding for compression. The experimental results demonstrate the improvement in CR and subjective visual quality of the images on reconstruction.

Online publication date: Wed, 31-Dec-2014

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