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A Novel Method of Adaptive Traffic Image Enhancement for Complex Environments
2015
Journal of Sensors
There exist two main drawbacks for traffic images in classic image enhancement methods. First is the performance degradation that occurs under frontlight, backlight, and extremely dark conditions. The second drawback is complicated manual settings, such as transform functions and multiple parameter selection mechanisms. Thus, this paper proposes an effective and adaptive parameter optimization enhancement algorithm based on adaptive brightness baseline drift (ABBD) for color traffic images
doi:10.1155/2015/516326
fatcat:jiwr4jv6xnapdabead7jfs5d3q