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Image Compression by Discrete Curvelet Wrapping Technique with Simplified SPHIT

by K.Siva Nagi Reddy, L.Koteswara Rao, B. R. Vikram, P. Ravikanth
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 18
Year of Publication: 2012
Authors: K.Siva Nagi Reddy, L.Koteswara Rao, B. R. Vikram, P. Ravikanth
10.5120/5077-7122

K.Siva Nagi Reddy, L.Koteswara Rao, B. R. Vikram, P. Ravikanth . Image Compression by Discrete Curvelet Wrapping Technique with Simplified SPHIT. International Journal of Computer Applications. 39, 18 ( February 2012), 1-9. DOI=10.5120/5077-7122

@article{ 10.5120/5077-7122,
author = { K.Siva Nagi Reddy, L.Koteswara Rao, B. R. Vikram, P. Ravikanth },
title = { Image Compression by Discrete Curvelet Wrapping Technique with Simplified SPHIT },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 18 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number18/5077-7122/ },
doi = { 10.5120/5077-7122 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:43.465141+05:30
%A K.Siva Nagi Reddy
%A L.Koteswara Rao
%A B. R. Vikram
%A P. Ravikanth
%T Image Compression by Discrete Curvelet Wrapping Technique with Simplified SPHIT
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 18
%P 1-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The proposed paper is to develop an efficient compression scheme and to obtain better quality and higher compression ratio through discrete curvelet transform and embedded coding of curvelet coefficients through improved Set Partitioning In Hierarchical Trees algorithm (SPIHT) algorithm. The paper demonstrates a significant improvement in visual quality and faster encoding and decoding than the wavelet with SPHIT compression. The SPHIT with wavelet compression fail to represents discontinuous along the curves. The curvelet transform is a multiscale directional transform, which allows an almost optimal non adaptive sparse representation of objects with edges. By using improved SPHIT with Curvelets model the transform coefficients based on probability of significance, at a fixed threshold of the offspring. As far as objective quality assessment of the image compression of the proposed work will gives improved Peak Signal to Noise Ratio (PSNR) and high compression ratio (CR) compared with the existing wavelet transform with SPHIT image compression.

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Index Terms

Computer Science
Information Sciences

Keywords

curvelet SPHIT DCT Subband Compression DWT FFT

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