基于背景增强系数的图像增强算法

Yafei Guo, Y. Wan
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引用次数: 1

摘要

近年来,随着信息技术的飞速发展,图像在信息传递过程中显得尤为重要。由于拍摄环境、采集设备和天气的变化,图像质量严重下降。本文提出了一种通过调整HSV空间中值分量(V)的背景数据对夜间图像进行增强的算法。首先从V中获取背景图像,然后通过分割优化传递函数增大背景图像的动态范围。随后,将优化后的背景图像像素值除以优化前的像素值,得到增强系数。最后,我们可以从增强的背景图像中恢复增强V。实验结果表明,该方法在图像质量和视觉效果两方面都有显著改善。
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Image Enhancement Algorithm Based on Background Enhancement Coefficient
In recent years, images are particularly important in the process of information transmission with the rapid development of information technology. Image quality is severely degraded due to the shooting environment, acquisition equipment and weather changes. This paper presents an image enhancement algorithm for night image by adjusting the background data of the value component (V) in HSV space. We firstly obtain background image from V, then increase the dynamic range of the background image by segmentation optimization transfer function. Subsequently, the optimized background image pixel value is divided by the pixel value before optimization to obtain the enhancement coefficient. Finally, we can restore the enhancement V from enhanced background image. Experimental results show that the method has made two significant improvements in image quality and visual effects.
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