Title: Adaptive wavelet packet basis selection for zerotree image coding

Authors: R. Pandian; T. Vigneswaren

Addresses: Department of Electronics and Instrumentation, Sathyabama University, Chennai, Tamil Nadu, India ' Department of Electronics and Instrumentation, Sathyabama University, Chennai, Tamil Nadu, India

Abstract: In this paper, we explore the possibility of wedding the adaptive wavelet packet transform with zerotree quantisation. We subject the input image to an adaptive wavelet packet decomposition, to get a full wavelet packet tree. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. Set Partitioning in Hierarchical Trees (SPIHT) and Zerotree Quantisation - Wavelet (ZQ-WV) coder are the other encoding methods. The limitations we have in these coders are that they have low performance in terms of Peak Signal-to-Noise Ratio (PSNR) and low visual quality at low bit rates.

Keywords: image coding; wavelet transform; zerotree quantisation; wavelet packet basis selection; AWPZTC; adaptive wavelet; zerotree image coding; SPIHT; set partitioning; hierarchical trees; wavelet packet tree; peak SNR; signal-to-noise ratio; PSNR; visual quality.

DOI: 10.1504/IJSISE.2016.080272

International Journal of Signal and Imaging Systems Engineering, 2016 Vol.9 No.6, pp.388 - 392

Received: 21 Dec 2012
Accepted: 10 Nov 2013
Published online: 10 Nov 2016 *

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