中图法分类号TP391-中国图象图形学报.doc

中图法分类号: TP391.4 文献标识码:A 文章编号:140628 文章索引信息：王勋，罗婷婷，刘春晓，彭浩宇.对比度、颜色一致性和灰度像素保持的消色算法[J].中国图象图形学报 对比度、颜色一致性和灰度像素保持的消色算法 王勋，罗婷婷，刘春晓，彭浩宇 (浙江工商大学计算机与信息工程学院,浙江 杭州,310018) 摘 要：目的：为了解决目前消色算法中不能同时保持原始图像的对比度，颜色一致性和灰度像素特征的问题，我们提出了一个新的优化算法，最大限度地保留这些特性。保持原始图像的结构和局部信息保持颜色一致性，我们局部线性嵌入确保原始图像中颜色一致的像素在结果图像中拥有一样的灰度级消色变换的过程中始终目标能量函数，迭代使能量值达到最小的灰度值，从而得到了消色结果。我们的算法能够contrast, color consistency and grayscale pixel preservation Wang Xun, Luo Tingting, Liu Chunxiao, Peng Haoyu (School of Computer Science Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China) Abstract: Objective: In theory, color to gray transformation is a process of dimensionality reduction, so losing information is inevitable. Therefore, the goal of decolorization is to use the limited gray level range to preserve as much information of the original color image as possible. Researchers have proposed many related algorithms, but they neither simultaneously preserve local and global contrast better, nor simultaneously preserve contrast, color consistency and grayscale pixel of original image. In order to solving the above problems, we propose a new approach which can maximally maintain these features of original color image. Method: For preserving the structure and local information, we use a bimodal Gaussian distribution, which is followed by the difference between pixel and its neighbors, to construct the error energy function. For global color consistency, we use the locally linear embedding to build energy function which makes the same color pixels have the same gray levels in the result. For grayscale feature preservation, we mark out grayscale pixels and specify that the gray values of grayscale pixels are known quantities and unchanged during conversion firstly. Then we construct the energy function between grayscale pixels and other pixels. After that, we build the objective function by the linear combination of the three energy functions and obtain the gray image via solving the objec