Algorithms for Enhanced Image Fusion Performance
Zaid Omar
Broschiertes Buch

Algorithms for Enhanced Image Fusion Performance

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This book presents several signal processing algorithms for image fusion in noisy multimodal conditions, such as medical, surveillance and satellite imaging. It first introduces a novel image fusion method - Chebyshev polynomial analysis (CPA), which performs well for image sets heavily corrupted by noise. CPA's fast convergence and smooth approximation renders it ideal for indiscriminate denoising fusion tasks. The concept is then further extended by incorporating the advantages of CP with those of a state-of-the-art fusion technique named independent component analysis (ICA), to create a hyb...