Effective Polarization-Based Image Dehazing With Regularization Constraint

Fast outdoor hazy image dehazing based on saturation and brightness

“…Using (2), (19) can be rewritten as $$\begin{equation}{e^{ - \beta d(x)}} = 1 - {v_{{I_n}}}(x)\left(1 - \frac{{{S_{{I_n}}}(x)}}{{{S_{{J_n}}}(x)}}\right).\end{equation}$$…”

“…[18], when the value of $$S(x)$$ is very small, $$S(x)$$ is the constant 0 by default, so that the scene depth $$d(x) \propto v(x)$$ is obtained. Combined with (2), if $$d(x) \to \infty $$, then $$t(x) \to 0$$, and if $$d(x) \to 0$$, then $$t(x) \to 1$$. According to the properties of exponential function, we can find out $$1 - t(x) > {v_I}(x)$$ always holds.…”

“…In (6), when $$s(x) = 0$$ and $$v(x) \in (0,1)$$, we find that $$d(x)$$ is in the range of (0,1). In (2), $$d(x) \in (0,\infty )$$, that is, $$d(x) = 0$$ represents the closest distance to the camera, and $$d(x) = \infty $$ is the opposite. Therefore, when $$\beta = 1$$, for the situation in (2), $${e^{ - \beta d(x)}}$$ is a complete mapping in the range of (0,1).…”

“…Researchers intended to obtain multiple images at the same location based on different degrees of polarization or under different conditions, and process and merge these images to obtain a better restoration effect. Literatures [1–3] obtained multiple images in the same scene based on different degrees of polarization for image dehazing. In order to eliminate haze, multiple images of the same scene were taken under different weather conditions, and the depth information is estimated by using these images [4].…”

Polarimetric Dehazing Method Based on Image Fusion and Adaptive Adjustment Algorithm

“…You et al [23] proposed a polarization image dehazing enhancement algorithm, and they obtained the polarimetric information by the polarization images and automatically extracted the sky region based on the region growth algorithm, and then estimated the key parameters by the dark channel priori principle. Liang et al [24] optimized the angle of polarization (AoP) by regularization constraints, and then automatically estimated all the key parameters without considering the sky region. However, the DOP (degree of polarization) of the background scattering light is very low in some hazy weathers, especially in heavy hazy weathers the DOP is less than 0.01, most of the polarimetric information is covered by noise and it is very difficult to obtain the polarimetric information in such environments, and the inaccurate information will lead to inaccurate key parameters estimation of the dehazing model, so the conventional polarimetric dehazing methods cannot operate effectively.…”