关键词: 图像彩色化, 颜色迁移, 颜色空间, 图像检索

Abstract: Adaptive coloring grayscale image based on multiple color images competing selection model is proposed.Firstly，this paper transforms the RGB color space to lab color space to remove the correlation in RGB color channel.Then the image information retrieval technology is introduced to select some optimal similar source color images from given color image database which match with the contents of input gray image，and then using similar competition and adaptive sampling analysis of the partial and total information to choose the best color image information and transfer it to the gray image to synthesize a new color image adopting according pixel corresponding principle.This scheme combines the automatic image retrieval technique with color transfer together，so it can make good use of color information in multiple pieces of color images to improve color performance.The experimental results demonstrate that this algorithm has good color effects and a more extensive scope of application compared with the classic method.

Key words: image coloring, color transfer, color space, content-based image retrieval