【摘要】 针对彩色图像灰度化过程中易丢失结构信息的问题,提出一种基于结构信息相似度的灰度化算法.首先在RGB色彩空间利用像素平均值和标准偏差值构造一幅对比图,以保持彩色图像的对比度和亮度信息;然后利用结构信息相似度评价指标衡量RGB通道图像与对比图间的相似程度;最后将通道结构信息相似度值作为全局加权映射函数中的权重值,获得最终的灰度图像.该算法有效解决了其他典型灰度化算法中需求解目标函数,导致算法复杂度高、图像结构信息不自然的缺陷.对■adik和CSDD图像集的实验结果表明,该算法优于一些已有典型灰度化算法,能有效保留原始图像的对比度和结构信息,可提高计算效率,且输出的灰度化图像视觉感知自然,主客观评价结果均较优.更多还原

【Abstract】 Aiming at the problem that the structural information were easily lost in the process of decolorization, we proposed a decolorization algorithm based on structural information similarity. Firstly, the contrast image was constructed in RGB color space by using the average and standard deviation of pixels to keep the contrast and brightness information of the color image. Secondly, the similarity between each RGB channel image and contrast image was measured by structural similarity index. Finally, the structural similarity indices were taken as the weights in the global weighted mapping function to obtain the final grayscale image. This algorithm effectively solved the problem that the objective function needed to be solved in other typical decolorization algorithms, which resulted in the defects of high complexity and unnatural structural information. The experimental results on ■adik and CSDD database show that the proposed algorithm is superior to some existing typical grayscale algorithms, which can effectively preserve the contrast and structural information of the original image and improve the computational efficiency. The visual perception is natural for the grayscale image, whose subjectivity and objective evaluation results are optimal.更多还原