一种彩色图像灰度化的自适应全局映射方法

An Adaptive Global Mapping Approach for Color to Grayscale Image Conversion

研究采用RGB颜色分量加权和的全局映射,进行彩色到灰度的变换算法.根据彩色像素在不同颜色分量的统计信息,自动生成各颜色分量的灰度化权重,同时结合主客观图像质量标准,探索自适应的全局映射灰度化算法.实验证明,本文提出的新算法在多数测试图像上的灰度化效果与传统的灰度化算法效果相当,但对具有主题色的彩色图像可以获得显著改善的灰度图像视觉效果.

This paper studies the color to grayscale image conversion algorithms based on global mapping using linear combination of RGB color components. According to the statistical information of the color pixels in the different color components, the combination weights of different components are automatically generated to mapping color to grayscale In combination with the subjective and objective image quality standards, we present an adaptive global mapping algorithm. Experimental results show that the new algorithm can perform as good as traditional color to grayscale algorithm on the majority of test images, but can outperform the traditional algorithm in case of dominant colors appears in the original image, and significantly improve the visual effect of the gray-scale image.