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Article
A multi-scale attentive recurrent network for image dehazing
Image dehazing is a pre-processing step in computer vision tasks, that has attracted considerable attention from the research community. Existing CNN-based methods ignore haze-related priors and rarely use a c...
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Chapter and Conference Paper
Traffic Image Dehazing Based on Wavelength Related Physical Imaging Model
Fog concentration is of crucial importance for traffic image dehazing. However, existing methods neglect it, resulting in inferior dehazing results. To tackle this problem, we propose a dehazing method based o...
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Chapter and Conference Paper
Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
In order to realize accurate personal identification in the ATMS, an efficient iris image segmentation approach based on the fuzzy 4-partition entropy and graph cut is presented which can not only yield noisy ...