摘要
当前立体空间色彩饱和度修正方法,受到噪声干扰导致图像空间的光照信息计算失准,造成低动态范围图像空间色彩饱和度失衡,从而需要二次修正,存在修正耗时较长、成本较高、且图像细节信息模糊的问题。据此提出场景化立体空间色彩饱和度动态修正方法,采用Retinex图像增强算法加入全局自适应亮度调节以及去噪环节,对图像亮度分量进行增强处理,在求解反射分量的过程中,保留场景化立体空间中的光照信息,以完成图像的预处理。将经过预处理的彩色图像压缩到普通显示器能够显示的范围内,采用阶跃方程对低动态范围内场景化立体空间色彩饱和度进行动态调整,实现场景化立体空间色彩饱和度动态修正。仿真结果表明,所提方法修正耗时较短、成本较低,并且能够更好的保存图像的细节信息。
At present, the color saturation correction method is inaccurate to calculate the illumination information in image space due to noise interference, resulting in imbalance of color saturation of image space in low dynamic range, so it is necessary to correct the saturation again. But the image details are fuzzy. Therefore, a dynamic correction method of color saturation in scenario-based solid space was put forward. Firstly, the image enhancement algorithm(Retinex) was used to add global adaptive brightness adjustment and noise removal, so as to enhance the image brightness component. In the process of solving the reflection component, the illumination information in solid space was retained to complete the image preprocessing. Then, preprocessed color images were compressed into the range that could be displayed by common display. Moreover, the stepwise equation was used to dynamically adjust the color saturation of scenario-based solid space in low dynamic range and thus to realize the dynamic correction for color saturation. Simulation results show that the proposed method has shorter time-consuming correction, lower cost, so it can keep the image details very well.
作者
梅杨姿
MEI Yang-zi(Xi’an Polytechnic University,Xi’an Shanxi 710000,China)
出处
《计算机仿真》
北大核心
2020年第4期446-450,共5页
Computer Simulation
基金
陕西省教育厅科研计划项目资助(18JK0327)。
关键词
场景化
立体空间
色彩饱和度
修正
Scenario-based
Solid space
Color saturation
Correction
