Titlebook: Image Analysis and Recognition; 16th International C Fakhri Karray,Aurélio Campilho,Alfred Yu Conference proceedings 2019 Springer Nature S

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An Efficient Algorithm for Computing the Derivative of Mean Structural Similarity Index Measureergy functionals, even though it is not an optimal measure of visual quality. Recently the use of Mean Structural Similarity Index Measure (MSSIM) in data fidelity expressions has been examined. Solving such problems requires derivative of MSSIM. We propose an efficient algorithm for computing this

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Principal Component Analysis Using Structural Similarity Index for Imagesbility to develop. As it has been shown that Mean Squared Error (MSE) is insufficient for this task, other measures have been developed with one of the most effective being Structural Similarity Index (SSIM). Such measures can be used for subspace learning but existing methods in machine learning, s

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