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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

Unique Identifier

JETIR1505050

Page Number

1610-1616

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Title

Medical Image Compression And Reconstruction Using Compressive Sensing

ISSN

2349-5162

Cite This Article

"Medical Image Compression And Reconstruction Using Compressive Sensing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1610-1616, May-2015, Available :http://www.jetir.org/papers/JETIR1505050.pdf

Abstract

Compressive sensing is new era and emerging platform for data acquisition and signal processing. Magical statement of Compressive sensing tells that one can recover certain signal or images from far fewer samples than traditionally required. Image Compression, the art and science of reducing the amount of data required tore present image is one of the most useful and commercially successful in the field of digital image processing. Image compression plays important role in many other areas, including tele video conferencing, remote sensing, document and medical imaging, and facsimile transmission. On encoding side it require two property of a signal that are sparsity and incoherence. First, any signal is converted into particular transform i.e. wavelet or DCT, with help of sensing matrix it extracts required coefficients which has less dimensionality than image dimensions and hence we can get resultant matrix. which is also called measurements which are non-adaptive. In certain areas like magnetic resonance imaging (MRI), it is urgent to reduce the time of the patients’ exposure in the electromagnetic radiation. CS recovery algorithms basically divided into two types like L1 minimization techniques and greedy CS recovery algorithms. Where L1 minimization technique is based on linear optimization solving and this technique provide good security but more computation time is required for image reconstruction. When greedy CS recovery algorithms are based on iteration calculation of approximation of image coefficients until a convergence criterion is met and these algorithm is faster but they are no provide stability. So that we have proposed Hybrid technique for reconstruction of image and by using it we can reduce the elapsed time.

Key Words

image processing,medical images,clusering,cs

Cite This Article

"Medical Image Compression And Reconstruction Using Compressive Sensing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1610-1616, May-2015, Available at : http://www.jetir.org/papers/JETIR1505050.pdf

Publication Details

Published Paper ID: JETIR1505050
Registration ID: 150576
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 1610-1616
ISSN Number: 2349-5162

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Cite This Article

"Medical Image Compression And Reconstruction Using Compressive Sensing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1610-1616, May-2015, Available at : http://www.jetir.org/papers/JETIR1505050.pdf




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