摘要
光照度过低或过高,都会对图像的质量产生很大的影响.针对该问题,提出了一种自适应求取彩色图像质量最佳化的方法.该方法通过人类视觉感知图像质量的四参数(信息熵、平均灰度、平均对比度、层次因子)对彩色图像质量评价,继而建立了基于Zadeh-X变换的最佳变换参数自动寻优模型,最后实现了自适应于不同光照条件下的彩色图像的最佳化效果.实验表明,处理后的彩色图像的质量得到明显的改善,具有更好的视觉效果,同时明亮区域或黑暗区域的可视细节显著提高,实现了彩色图像质量最佳化.
Too low or too high illuminance directly impacts on the image quality. Concerning this issue, an improved adaptive optimization method of color image quality was put forward. This methord applied to image quality assessment based on four important parameters of the human visual perception about the image quality, including information entropy, average gray level, average contrast and the hierarchy factor. Then, the best transform parameter automatic optimization model had been established built on Zadeh-X transform and the optimal effect of color image was realized in different light conditions finally. The experiment results show that the quality of the processed images is significantly improved and presents better visual effect. Meanwhile, the visible detail in bright and dark regionis is increased remarkably and the image quality optimization is realized.
出处
《微电子学与计算机》
CSCD
北大核心
2013年第6期131-136,共6页
Microelectronics & Computer
基金
国家自然科学基金项目(60975008)
关键词
光照度
彩色图像质量评价
Zadeh-X变换
彩色图像增强
自动寻优
intensity of illumination
color image quality assessment
Zadeh-X transformation
color imageenhancement
automatic optimization
