Modified Distributive Arithmetic based 2D-DWT for Hybrid (Neural Network-DWT) Image Compression

Modified Distributive Arithmetic based 2D-DWT for Hybrid (Neural Network-DWT) Image Compression

Mr. Murali Mohan.S

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Dr. P.Satyanarayana

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1 Sri Venkatweswara College of Engineering & Technology

GJCST Volume 14 Issue F2

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Artificial Neural Networks (ANN) is significantly used in signal and image processing techniques for pattern recognition and template matching. Discrete Wavelet Transform (DWT) is combined with neural network to achieve higher compression if 2D data such as image. Image compression using neural network and DWT have shown superior results over classical techniques, with 70% higher compression and 20% improvement in Mean Square Error (MSE). Hardware complexity and power dissipation are the major challenges that have been addressed in this work for VLSI implementation. In this work, modified distributive arithmetic DWT and multiplexer based DWT architecture are designed to reduce the computation complexity of hybrid architecture for image compression. A 2D DWT architecture is designed with 1D DWT architecture and is implemented on FPGA that operates at 268 MHz consuming power less than 1W.

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References

Sang Yoon,Park,Pramod Kumar,Meher Low-Power, High-Throughput, and Low-Area Adaptive FIR Filter Based on Distributed Arithmetic.
Chengjun Zhang,Chunyan Wang,M Ahmad (2012). A Pipeline VLSI Architecture for Fast Computation of the 2-D Discrete Wavelet Transform.
Cyril Prasanna,Raj (2006). Review of 2D VLSI architectures for image Compression.
Zang (1997). Wavelet Network in Nonparametric Estimation.
Q Zhang,A Benveniste (1992). Wavelet networks.
A Grossmann,B Torrésani (1998). Les ondelettes.
Francis Albarède,Janne Blichert-Toft,Gillan Davis,Liesel Gentelli,Jean Milot,Markos Vaxevanopoulos,Katrin Westner (1997). Comment on Mints not Mines: a macroscale investigation of Roman silver coinage by J.R. Wood, M. Ponting, and K. Butcher.
C Foucher,G Vaucher (2001). Compression d'images et réseaux de neurones.
J Jiang (1999). Image compressing with neural networks -A survey.
S Kulkarni,B Verma,M Blumenstein (1997). Image Compression Using a Direct Solution Method Based Neural Network.
G Lekutai (1997). Adaptive Self-tuning Neuro Wavelet Network Controllers.
R Dony,S Haykin (1995). Neural network approaches to image compression.
A D'souza Winston,Tim Spracklen Application of Artificial Neural Networks for real time Data Compression.
M Nadenau,J Reichel,M Kunt (2003). Wavelet-based color image compression: exploiting the contrast sensitivity function.
K Ratakonda,N Ahuja (2002). Lossless image compression with multiscale segmentation.
K Talukder,K Harada (2007). Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image.
Bo-Luen Lai,Long-Wen Chang (2006). Adaptive Data Hiding for Images Based on Harr Discrete Wavelet Transform.
S Minasyan,J Astola,D Guevorkian (2005). An Image Compression Scheme Based on Parametric Haar-like Transform.
Zhengmao Ye,Habib Mohamadian,Yongmao Ye (2007). Information Measures for Biometric Identification via 2D Discrete Wavelet Transform.
S Osowski,R Waszczuk,P Bojarczak (2006). Image compression using feed forward neural networks -Hierarchical approach.
M Liying,K Khashayar (2005). Adaptive Constructive Neural Networks Using Hermite Polynomials for Image Compression.
Robert Cierniak (2004). Image Compression Based on Soft Computing Techniques.
B Northan,R Dony (2006). Image Compression with a multiresolution neural network.
Hadi Veisi,Mansour Jamzad (2003). Image Compression with Neural Networks Using Complexity Level of Images.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

Mr. Murali Mohan.S. 2014. \u201cModified Distributive Arithmetic based 2D-DWT for Hybrid (Neural Network-DWT) Image Compression\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F2): .

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GJCST Volume 14 Issue F2
Pg. 37- 48

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

DWT high speed Image Compression Low power modified DAA Neural Network VLSI implementation

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Submission ReceivedDecember 16, 2013
RevisedDecember 16, 2013
Peer Review Double Blind
Handling Editor
Accepted January 2, 2014
Published January 15, 2014

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v1.2

Issue date

June 24, 2014

Language

English

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Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Mr. Murali Mohan.S, Dr. P.Satyanarayana (PhD/Dr. count: 1)

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Total Downloads: 2331

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