基于局部模糊和多尺度Retinex的水下图像增强算法
首发时间:2014-01-24
摘要:针对水下图像模糊,对比度低下等特点,提出一种基于局部模糊和多尺度Retinex的增强算法。算法中,根据局部区域的平均值和标准差,调整模糊增强的参数,并根据局部区域所在的人类视觉区域,自适应的调整Retinex算法的参数取值。在此基础上,加权融合两种算法所得的结果,实现水下图像的清晰化。本文的方法与传统方法相比,在细节增强和色彩保持方面具有更好的效果。
关键词: 局部模糊 多尺度 Retinex;增强算法
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Based on local fuzzy and multiscale Retinex underwater image enhancement algorithm
Abstract:According to the characteristics of the underwater images such as fuzzy and low contrast, this paper presents an image enhancement algorithm based on local fuzzy and multi-scale Retinex. In this algorithm, we are adjusting the parameter of the fuzzy enhancement base on the average and standard deviation of the local area. According to the local area where human visual area, adaptive adjusting the parameter of the Retinex algorithm. On the basis, we are weighting the results of the two algorithms to realize the underwater images clearly. Compared with the traditional method, this paper has a better effect in detail enhancement and color.
Keywords: local fuzzy multi-scale Retinex enhancement algorithm
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