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This paper presents a scheme to identify the blur
parameters using support vector machine (SVM) Multiclass
approach has been used to classify the length of motion blur
and sigma parameter of atmospheric blur. Different models
of SVM have been constructed to classify the parameters.
Experimental results show the robustness of the proposed
approach to classify blur parameters.
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