摘要： 针对自动色彩均衡(ACE)算法不能很好地保持图像原始色彩信息,并且算法复杂度高较难满足实时性应 用的缺点,提出双选像素点的局部自适应ACE 算法。将获得的图像变换到YCbCr 色彩空间中,有利于保持图像的 原始色彩信息,利用亮度图像的梯度信息与图像局部的均值方差信息进行双层像素点选择,降低算法的运算复杂 度,采用局部自适应滤波调整ACE 算法中的亮度控制函数,增强图像的局部对比度。实验结果表明,与传统的ACE 算法相比,色彩恢复多尺度Retinex算法MSRCR 的视觉效果更好,运行速度提高约150 倍,计算复杂度得到了明显改进。
关键词:
自动色彩均衡算法,
图像增强,
局部自适应,
色彩恢复多尺度Retinex 算法
Abstract: An Automatic Color Equalization(ACE) algorithm based on double selective pixels and local adaptability is
proposed in this paper to solve the problem that traditional ACE algorithm can’t keep original color information,and it is difficult to meet the real-time application for its highly complexity. The proposed algorithm transforms the obtained image into the YCbCr color space to hold the original color information, and reduces the computation complexity of the algorithm through selecting pixels with the gradient information of intensity image and the local mean-variance information. The local contrast is enhanced because of using local adaptive filtering to adjust the brightness control function of ACE algorithm. Experimental results show that the improved algorithm gets a better result which satisfies the human visual properties compares with Multi-scale Retinex with Color Restoration(MSRCR) algorithm and traditional ACE algorithm. Computational complexity is greatly improved as the algorithm runs faster than conventional ACE algorithm by about 150 times.
Key words:
Automatic Color Equalization(ACE) algorithm,
image enhancement,
local adaptive,
Multi-scale Retinex
with Color Restoration(MSRCR) algorithm
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