Longitudinal and lateral control in automated highway systems: their past, present and future
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Depth from images of external outdoor scenes
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Optimized contrast enhancement for real-time image and video dehazing
Journal of Visual Communication and Image Representation
Depth recovery from a single defocused image based on depth locally consistency
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images (to some degree) by compensating for the effects of the fog. Recently, several investigations have presented methods for recovering depth maps using only the information contained in a single foggy image. Each technique estimates the depth of each pixel independently, and assumes neighbouring pixels will have similar depths. In this work, we employ the fact that images containing fog are captured from outdoor cameras. As a result, the scene geometry is usually dominated by a ground plane. More importantly, objects which appear towards the top of the image are usually further away. We show how this preference (implemented as a soft constraint) is compatible with the alpha-expansion optimization technique and illustrate how it can be used to improve the robustness of any single image dehazing technique.