文章基本信息

标题：Squeezing of Color Image Using Dual Tree Complex Wavelet Transform Based Preliminary Plan
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作者：Nitin Sharma ; Anupam Agarwal ; Pawan Kumar Khyalia 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：3
页码：43
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, we scrutinize the role of dual tree complex wavelet transform. This Dual tree complexwavelet transform (DT-CWT) is slightly short of shift invariant and directionally selective in two or rise updimensions.The nature of multidimensional DT-CWT is non separable & dependent on the computationallyexpeditious, separable filter bank(SFB).This paper explains the designing of complex wavelet transformwith directional properties and use of this designed form in squeezing of image. If we take the DT-CWTtransform, then many of wavelet coefficients are approximately zero and this shows the intra sub-bandsdependency. We further access the performance of SPIHT coding preliminary plan for coding of thosecoefficients. At last, In the results of proposed preliminary plan gives higher rate of squeezing and lowermean square error(MSE) compared to plan of DWT. Dual tree complex wavelet transform-SPIHTpreliminary plan outperform DWT based preliminary plan at lower bit rates.
关键词：Image squeezing; Complex wavelet transform; Texture of image; Dual tree; SPIHT