Research on Foggy Image Enhancement Algorithm based on Improved Retinex Theory
نویسندگان
چکیده
In order to improve the image quality in fog, this paper presents a fog-image enhancement algorithm based on adaptive guided image filter Retinex theory. Firstly convert the image from the RGB color space to the HSV color space, Then, the luminance image is estimated by adaptive guided image filter, the saturation image is linearly stretched. Finally, the image is transformed back from HSV color space to RGB color space to get the final enhanced image. Simulation results show that the improved algorithm proposed in this paper is very good for foggy image enhancement, which solves the shortcomings of traditional Retinex algorithm, the enhanced foggy image is more clear and the details are more abundant.
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