Abstract
In this paper, we present a new image compression scheme that exploits the VQ technique in a hierarchical nonlinear pyramid structure. We use multistage median filters (MMF) to build the image pyramids. Image pyramids generated by MMF show a better details preservation than the ones generated by Burt's kernel. It is shown that MMF effectively decorrelates the difference pyramids, resulting in smaller first order entropy. Our simulations on natural images show that NPVQ yields a higher SNR as well as better image quality, in comparison with LPVQ. The NPVQ scheme is also appropriate for progressive image transmission.
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Song, X., Neuvo, Y. Image compression using nonlinear pyramid vector quantization. Multidim Syst Sign Process 5, 133–149 (1994). https://doi.org/10.1007/BF00986975
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DOI: https://doi.org/10.1007/BF00986975