Color Image Normalization Based on Laplacian Distribution Model

摘要

Traffic security has become an increasingly major concern in the development of an accurate transportation infrastructure. A driver should be immersed in an ideal driving environment with high visibility facilitated by transparent air. However, the visibility of the entire scene has the propensity to be degraded by atmospheric phenomena, such as fog, mist, an overcast sky, and other wet conditions. This reduced visibility often results in the misfortune of traffic accidents. In this paper, we propose a color image normalization method to increase confidence of the digital.image for traffic security based on the Laplacian distribution model. Experimental results demonstrate that our proposed method attains a substantially higher degree of efficacy when compared to the results produced through use of other stateof-the-art methods.