Image Enhancement by Entropy Maximization and Quantization Resolution Upconversion
Product Description
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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