Adaptive wavelet packet basis selection for zerotree image coding. (2016)

• Record Type: Journal Article
• Authors: Pandian, R.; Vigneswaren, T.
• Is Part Of: International journal of signal and imaging systems engineering. Volume 9:Number 6(2016)
• Page Start: 388
• Page End: 392
• Publication Date: 2016
• Subjects: 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; Signal processing -- Periodicals; Imaging systems -- Periodicals; Information theory -- Periodicals; 621.3822
• Languages: English
• ISSNs: 1748-0698

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.