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首页> 外文会议>International Conference on Information and Communication Technology Convergence >Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration
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Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration

机译：基于物理建模和改进的图像可见度恢复的雾度模拟

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In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
机译：在本文中，我们基于物理建模设计HAZING，并提出一种通过有效地估计来自雾图像的传输量来消除的方法。他[9]提出了一种使用黑暗通道（DCP）的单个图像可见度恢复方法。在许多算法中，已知该DCP算法在各种雾图像中具有良好的性能。然而，该方法需要消光处理，这需要大量计算来优化传输量的块类型。在本文中，我们提出了一种改进的图像可见度恢复算法，其使用基于边缘强度信息的混合型多滤波器估计传输量，以更精确地移除边界处的雾度。通过提出算法的实验，我们表明在不使用消光处理的情况下有效地消除了雾度。特别地，该算法在边界区域更有效。

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