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Home / programming language / Online Matlab Projects / Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion
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Matlab Project - DIP, final year projects.
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Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion

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SKU: PROJ7349 Categories: 2017 Projects, Digital Image Processing Projects, Online Matlab Projects 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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Image Enhancement by Entropy Maximization and
Quantization Resolution Upconversion

Abstract— A new contrast enhancement algorithm of tone-preserving entropy maximization. Its design
objective is to present the maximal amount of information content in the enhanced image, or being optimal in an information theoretical sense, while preventing the loss of tone continuity. The resulting optimization problem can be graph theoretically modeled as the construction of the K-edges maximum-weight path, and it can be solved efficiently by dynamic programming. Moreover, the proposed algorithm is made more effective by being combined with a preprocess of image restoration that aims to correct quantization errors caused by the analog-to-digital conversion of image signals.< final year projects >

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