Fusion for Video Enhancement using Fuzzy-C means Clustering Algorithm
Keywords:
Enhancement, Fusion, Fuzzy-C Means Clustering Algorithm And Color TransferAbstract
Video fusion is used for imparting all relevant and complementary details from multiple sources of image into a single composite image. The proposed method uses a class of image fusion techniques to automatically combine images of a scene captured under different illumination. Fuzzy-C means clustering is an unsupervised and robust clustering algorithm, which allows one input vector into two or more cluster regions. Proposed fusion method is based on segmented regions of source images obtained by a fuzzy-C means clustering algorithm and is the robust clustering method. Principal components are evaluated for the clustered regions of source video and average of all principal components is evaluated to get fused result as a linear combination of input video. This algorithm is applied to get fusion result with maximum average quality index.
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