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A Retinex Algorithm for Image Enhancement Based on Recursive Bilateral Filtering

机译:基于递归双边滤波的Retinex图像增强算法

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Retinex is a widely used method in image enhancement, but it may cause halation in the high contrast area. Bilateral filter is an effective algorithm to eliminate this phenomenon, but its slow processing speed restricts its application. To solve this problem, a new Retinex algorithm based on recursive bilateral filter is proposed in this paper. Firstly, recursive bilateral filter is used to estimate the illumination image, and then we use a traditional Retinex module to get the reflectance image and perform a histogram equalization to improve its visual effect. At last, this algorithm is evaluated from both subject and objective aspects. The experiment result shows that the proposed algorithm achieves a satisfied image enhancement effect as well as eliminates the halation, and its processing speed is obviously faster than both the bilateral algorithm and the traditional Retinex algorithm.
机译:Retinex是图像增强中广泛使用的方法,但是它可能会在高对比度区域引起光晕。双边滤波器是消除这种现象的有效算法,但是其慢的处理速度限制了其应用。为了解决这个问题,本文提出了一种新的基于递归双边滤波器的Retinex算法。首先,使用递归双边滤波器估计照明图像,然后使用传统的Retinex模块获取反射图像,并进行直方图均衡化以提高其视觉效果。最后,从主观和客观两个方面对算法进行了评价。实验结果表明,该算法达到了满意的图像增强效果,消除了光晕现象,处理速度明显快于双边算法和传统的Retinex算法。

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