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Still image compression based on 2D discrete wavelet transform

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4 Author(s)
Tan, R.H.G. ; Sch. of Eng., Liverpool Univ., UK ; Zhang, T.J.F. ; Morgan, R. ; Greenwood, A.

The objective of this Letter is to develop new techniques for enhancing the compression of still images. The features of the proposed algorithm include: (i) zero mapping, which exploits the inherent self-similarity of wavelet coefficients at different scales, (ii) adaptive scanning, and (iii) data packing. Our algorithm outperforms both JPEG and the embedded zerotree wavelet (EZW) algorithm

Published in:

Electronics Letters  (Volume:35 ,  Issue: 22 )

Date of Publication:

28 Oct 1999

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