cqvip:A large number of vehicle accidents are caused by low visibility during severe weather conditions.According to the US Department of Transportation,there are more than 1,259,000 crashes each year caused by severe weather conditions.These accidents could be significantly prevented if real time visibility enhancement systems were to exist.This work is aimed to improve driver safety during severe weather conditions.We propose a method to improve driver’s visibility during harsh weather conditions:a multistage framework based on Retinex algorithm and followed by a detection process of the vehicles in the front view of the driver.Retinex is an algorithm that has a capability to maintain a good dynamic range compression and spectral rendition effect.Retinex is used because it has the ability to overcome the loss of background details which occur during severe weather conditions scenes.We present simulation results of different visibility degradation.We also evaluate our method by using peak signal to noise ratio(PSNR)and Structural SIMilarity(SSIM)parameters.
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