基于直方图均衡化的自适应阈值图像增强算法

An adaptive threshold image enhancement algorithm based on histogram equalization

图像对比度增强能增强图像质量,增强图像可读性。考虑到图片的质量与环境息息相关,本文提出了基于多阈值和直方图均衡化的图像增强算法。首先,将低照度图像从RGB色彩空间转换为YUV色彩空间;其次,提取亮度分量Y做自适应阈值增强处理,自适应阈值处理可以根据不同场景的图像将增强效果达到最优,根据Y增强系数对U和V做增强;最后,将增强后的YUV对原图映射融合。仿真实验结果表明,改进算法输出图像整体亮度与对比度增强,视觉感受增强。

Image contrast enhancement can enhance image quality and readability.Considering that image quality is closely related to environment,an image enhancement algorithm based on multiple thresholds and histogram equalization is proposed in this paper.Firstly,the low illumination image is converted from RGB color space to YUV color space.Secondly,the brightness component Y is extracted for the adaptive threshold enhancement processing.The adaptive threshold processing can optimize the enhancement effect according to the images of different scenes.U and V are enhanced according to the enhancement coefficient of Y.Finally,the enhanced YUV is merged with the original map.The simulation results show that the overall brightness and contrast of the output image of the improved algorithm are enhanced,and the visual perception is enhanced.