Image color style migration method for mobile applications based color feature extraction

Article type: Research Article

Authors: Cai, Xingquan^* | Ge, Yakun | Cai, Runbo | Guo, Tianhang

Affiliations: School of Computer Science, North China University of Technology, Beijing, China

Correspondence: [*] Corresponding author: Xingquan Cai, School of Computer Science, North China University of Technology, Beijing, China. E-mail: [email protected].

Abstract: With the development of the computer image processing and smartphones, image processing on smartphones will be a popular technology. This paper mainly provides an image color style migration method for mobile applications based color feature extraction. Firstly, we use dichotomy to extract color feature of the template image. Then we use Quartz2D engine of iOS to draw the target image according to the template image color feature. Finally we use Metal interface of iOS to adjust the target image’s color saturation and sharpen its edge. Through the whole process, the source image’s color style has been migrated to a new image. We have implemented the image color style migration system orient to iOS application. The experiment results show that the system runs stable and reliable.

Keywords: Image color feature, color style migration, color feature extraction, mobile application

DOI: 10.3233/JCM-190020

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. 4, pp. 879-890, 2019