基于SOFM的灰度图像彩色化算法

Colorization Algorithm for Grayscale Images Based on SOFM

提出一种基于自组织特征映射(SOFM)的灰度图像彩色化算法。将彩色样本图像和灰度图像均转换到lαβ颜色空间,在l通道构造像素邻域的多维特征向量,将彩色样本图像的像素亮度特征向量作为网络的输入进行训练,利用SOFM的自组织特性建立像素特征向量与彩色信息值的对应关系,应用训练好的网络实现灰度图像的彩色化。实验结果表明,该算法的彩色化效果较已有算法有较大改善。

A colorizing algorithm for grayscale images based on SOFM is proposed. The color image and grey image are first transformed into laβ color space. In the l-channel, structure of the multi-dimensional pixel neighborhood feature vectors is constructed as the network input for training, and establishes the correlation between the pixel characteristics and color intbrmation using the self-organizing of SOFM. The trained network is used to colorize the gray image. Experimental results show that the algorithm results. in the colorization are greatly improved than the previous algorithms.