A Coloring Method of Gray-Level Image using Neural Networks

摘要

In this paper, we describe a coloring method of gray-level images in a restricted area based on neural networks. The coloring method employs color clustering and classification algorithms to images in an application area. In this research, the self-organizing feature map algorithm for clsutering is applied to construction of a codebook. Variations of intensity in the gray-level image are classified into corresponding codevectors using the back-propagation algorithm. The coloring is accomplished by clustering the classified codevectors of a gray-level image into colorvectors of the constructed codebook. Also, the proposed method is demonstrated in experiments with portrait images.