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Blur Map Generation Based on Local Natural Image Statistics for Partial Blur Segmentation
IEICE transactions on information and systems
Partial blur segmentation is one of the most interesting topics in computer vision, and it has practical value. The generation of blur maps is a crucial part of partial blur segmentation because partial blur segmentation involves producing a blur map and applying a segmentation algorithm to the blur map. In this study, we address two important issues in order to improve the discrimination of blur maps: (1) estimating a robust local blur feature to consider variations in the intensity amplitudedoi:10.1587/transinf.2017edp7119 fatcat:injff5mwhnfothzf6wge5m5eky