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        \Large
        \textbf{Simultaneous image fusion and denoising based on multiscale transformation and sparse representation }
        
        
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        \textsl{
        Tahiatul Islam\\
        Roll: 1109056\\
        Supervisor: Dr. Sheikh Md. Rabiul Islam\\
        Associate Professor, ECE, KUET}
        
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        \Large
        Department of Electronics \& Communication Engineering\\
        Khulna University of Engineering \& Technology\\
        Khulna, Bangladesh\\
        May, 2016
        
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\chapter*{Acknowledgement}
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With due homage and honor, I want to express my gratitude to Almighty.\\


\noindent I express my indebtedness to my dedicated supervisor Dr. sheikh Md. Rabiul Islam ( Associate Professor, Department of Electronics and Communication Engineering, KUET) for his necessary guidance, suggestions and encouragement to all phases of my work. I am also very grateful to our Departmental Head Dr. Md. Faruque Hossain (Professor,  Department of Electronics and Communication Engineering, KUET). I would also like to thank all the teachers who've been much helpful and encouraging in completion of our thesis work.\\

\noindent\textbox{\hfill}\textbox{\hfil \hfil}\textbox{\hfill \textbf{Author}}
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\chapter*{Abstract}
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Image fusion is one of the currently active area in image processing society.The goal of image fusion is to increase the total information in a single image from number of source images.In previous year different method has been proposed in fusing image and each of them has its own pros \& cons. Multi-scale transform (MST) and sparse representation (SR) based method found most effective in image fusion.In my work i propose a method of image fusion which take the  advantage of both MST and SR in fusing image which also able to remove noise introduced in the source images.

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%\chapter*{Dedication}
%To mum and dad

\tableofcontents
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\listoffigures
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\chapter{Introduction}
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\input{chapters/introduction}

\chapter{Multi-Scale Transformation}
\input{chapters/literature}

\chapter{Sparse Representation of signal}
\input{chapters/prevapproaches}

\chapter{Image Denoising}
\input{chapters/dataset}

\chapter{Propsed method}
\input{chapters/methodology}

\chapter{Experiment setup and fusion evaluation metrics}
\input{chapters/experiment}

\chapter{Experimental result}
\input{chapters/result}

\chapter{Conclusion and Future plan}
\input{chapters/conclusions}

%\chapter{The Architecture}
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%\chapter{Proposed Algorithm}
%\input{chapters/proposedalgo}

%\chapter{Experimental Result}
%\input{chapters/performance}

%\chapter{Tools and Recommendations for Future Works}
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%\chapter{Conclusion}
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%\appendix
%\chapter{Appendix}
%\input{chapters/appendix}

\input{Reference}

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