Fully automatic coloring of grayscale images
作者:
Highlights:
•
摘要
This paper introduces a methodology for adding color to grayscale images in a way that is completely automatic. Towards this goal, we build on a technique that was recently developed to transfer colors from a user-selected source image to a target grayscale image. More specifically, in order to eliminate the need for manual selection of the source image, we use content-based image retrieval methods to find suitable source images in an image database. To assess the merit of our methodology, we performed a survey where volunteers were asked to rate the plausibility of the colorings generated automatically for grayscale images. In most cases, automatically-colored images were rated either as totally plausible or as mostly plausible.
论文关键词:Image coloring,Color transfer,Content-based image retrieval
论文评审过程:Received 31 May 2004, Revised 20 August 2005, Accepted 18 December 2005, Available online 23 February 2006.
论文官网地址:https://doi.org/10.1016/j.imavis.2005.12.009