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Home / programming language / Online Matlab Projects / Single-Scale Fusion: An Effective Approach to Merging Images
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Single-Scale Fusion: An Effective Approach to Merging Images

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SKU: PROJ7434 Categories: 2017 Projects, Digital Image Processing Projects, Final Year Projects, Online Matlab Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Single-Scale Fusion: An Effective Approach to Merging Images

Abstract— Due to its robustness and effectiveness, multi-scale fusion (MSF) based on the Laplacian pyramid decomposition has emerged as a popular technique that has shown utility in many applications. Guided by several intuitive measures (weight maps) the MSF process is versatile and straightforward to be imple-mented. However, the number of pyramid levels increases with the image size, which implies sophisticated data management
and memory accesses, as well as additional computations.< final year projects >

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