Infrared Image Enhancement Using Convolutional Neural Networks for Auto-Driving
Shunshun Zhong,
Luowei Fu,
Fan Zhang
Abstract:Auto-driving detection usually acquires low-light infrared images, which pose a great challenge to the autopilot function at night due to their low contrast and unclear texture details. As a precursor algorithm in the field of automatic driving, the infrared image contrast enhancement method is of great significance in accelerating the operation speed of automatic driving target recognition algorithms and improving the accuracy of object localization. In this study, a convolutional neural network model includi… Show more
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