关键词: 图像去雾, 模糊聚类, 透射率, 机器视觉

Abstract: The image restoration has become an active topic in machine vision. This paper presents a novel dehazing method based on fuzzy clustering rules for restoring the image degraded by fog. The fuzzy clustering method is used to preprocess the image degraded by fog or haze to obtain the transmission parameters in the process of restoration. The transmission map and the saturation image are fused by multi-scale pyramid thinning strategy for the image depth information. Finally, the image is recovered by extracting the transmission and the image depth information. The experimental results show that the method can effectively remove the fog information in the image and the algorithm has a higher computing speed.

Key words: image dehazing, fuzzy cluster, transmission, machine vision