NDLI: Performance analysis of integer wavelet transform for image compression

Content Provider	IEEE Xplore Digital Library
Author	Jain, C. Chaudhary, V. Jain, K. Karsoliya, S.
Copyright Year	2011
Description	Author affiliation: Department of Electronics, I.I.T.M., Gwalior, India (Jain, K.) \|\| Department of Computer Science, M.A.N.I.T., Bhopal, India (Karsoliya, S.) \|\| Department of Information Technology, T.I.T., Bhopal, India (Jain, C.; Chaudhary, V.)
Abstract	For image compression, it is very necessary that the selection of transform should reduce the size of the resultant data as compared to the original data set. In this paper, a new lossless image compression method is proposed. For continuous and discrete time cases, wavelet transform and wavelet packet transform has emerged as popular techniques. While integer wavelet using the lifting scheme significantly reduces the computation time, we propose a completely new approach for further speeding up the computation. First, wavelet packet transform (WPT) and lifting scheme (LS) are described. Then an application of the LS to WPT is presented which leads to the generation of integer wavelet packet transform (IWPT). The proposed method, Integer Wavelet Packet Transform (IWPT) yields a representation which can be lossless, as it maps an integer valued sequence onto the integer valued coefficients. The idea of Wavelet Packet Tree is used to transform the still and color images. IWPT tree can be built by iterating the single wavelet decomposition step on both the low-pass and high-pass branches, with rounding off in order to achieve the integer transforms. Thus, the proposed method provides good compression ratio.
Starting Page	244
Ending Page	246
File Size	357105
Page Count	3
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5941746
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	DWT PSNR Low pass filters Filter banks LS IWT Discrete wavelet transforms CR IWPT CT Image coding Wavelet packets WPT
Content Type	Text
Resource Type	Article

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