Title: Image compression using adaptive lifting scheme based on minimum mean square error criterion

Authors: R. Satyabama, S. Annadurai

Addresses: Government College of Technology, 42, G.C.T. Quarters, G.C.T. Campus, Thadagam Road, Coimbatore 641 013, Tamil Nadu, India. ' Directorate of Technical Education, Chennai 600025, Tamil Nadu, India

Abstract: Wavelet transform has demonstrated excellent compression performance with natural images. The framework of lifting offers the flexibility for developing adaptive wavelet transforms. In this paper, adaptive prediction and update techniques based on the local properties of the images are proposed. A non-linear wavelet transform that chooses the number of vanishing and preserving moments in the prediction and update lifting steps adaptively according to the underlying local signal characteristics is presented. The spatial adaptivity criterion is based on the optimum interpolating function and Minimum Mean Square Error (MMSE). This adaptive lifting transform appears promising for image compression.

Keywords: adaptive lifting; autocorrelation; prediction filters; update filters; interpolating wavelets; Wiener–Hopf equation; minimum mean square error; image compression.

DOI: 10.1504/IJSISE.2011.039184

International Journal of Signal and Imaging Systems Engineering, 2011 Vol.4 No.1, pp.42 - 49

Received: 29 Mar 2010
Accepted: 12 Nov 2010
Published online: 13 Mar 2015 *

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