An Improved Hybrid Method for Defogging Single Image

Abstract

In this article, we suggest a different method for addressing the issue of nighttime single image dehazing. Because a nighttime landscape frequently includes several light sources, ambient lighting for haze period is usually not globally isotropic. Existing nighttime dehazing algorithms have tried to treat these two zones using the same prior assumptions. We propose a novel blending approach for resolving them in this work. A channel difference guided filtering with contrast stretch approach is presented to estimate ambient light, which creates a spatially variable low-frequency passband that selectively retains high-frequency edge information.