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    <name>Article</name>
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          <name>Title</name>
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              <text>Hybrid scheme image compression using DWT and SVD</text>
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              <text>DCT; DWT; Image compression; SVD; Wavelet filters</text>
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              <text>Image compression is process of reducing data size to represent an image by removing redundant data. Hybrid scheme image compression is combination of methods performed in order or as an amalgam to form a new technique. In this paper, we proposed a new approach to compress the image by collaborating Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD). Image is decomposed into wavelets using DWT and approximate wavelet is subsequently transformed into four bands. Different wavelet filters are implemented for transformation namely Haar, Daubechies, Biorthogonal and Coiflets. Apart from approximate image, SVD is applied on remaining wavelets (Horizontal, Vertical and Diagonal Details) at each decomposition level. On reconstruction, various singular values are selected depending on the level transformation. The performance of the proposed method is compared and evaluated with SVD, DCT-SVD and DWT-DCT-SVD. Evaluation is carried out based on Compression Ratio (CR), Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM) index. From the experimental results, it is observed that proposed method yields better MSE, PSNR and SSIM compared to state-of-the-art methods.  2017, Institute of Advanced Scientific Research, Inc. All rights reserved.</text>
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              <text>Thinley T.; Praveen Kumar P.U.</text>
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              <text>Journal of Advanced Research in Dynamical and Control Systems, Vol-2018, pp. 225-233.</text>
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          <name>Publisher</name>
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              <text>Institute of Advanced Scientific Research, Inc.</text>
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              <text>2018-01-01</text>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046481356&amp;amp;partnerID=40&amp;amp;md5=b2c19c43fdd6e71d10f26514f0e0bf9c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046481356&amp;amp;partnerID=40&amp;amp;md5=b2c19c43fdd6e71d10f26514f0e0bf9c&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 1943023X</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Thinley T., Department of Computer Science, Christ University, Bengaluru, India; Praveen Kumar P.U., Department of Computer Science, Christ University, Bengaluru, India</text>
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