New Image Processing Algorithm towards More Realistic Expression on Hair Coloring

Abstract

Hair dye market provides hair dye products and virtual hair coloring services to customers. The virtual hair coloring service provides consumers a more realistic user experience by checking its outcome color in advance whether the hair color will suit them or not before consumers dye their hair. However, this rendering service malfunctions to check the final hair color of the real world, because current digital color changing methods are rooted in computational methods like layering through proportional mixture or replacing color values. On this account, we propose a new color rendering processing method for human hair. The new algorithm contains a lookup table, made of measured color values in terms of CIELab. Based on the lookup table, the hair color estimation model determines the brightness of the hair area for the input image, calls the color value adjusted from the lookup table according to the determined hair brightness, and reflects both brightness value and adjusted color value to the final rendering. Since the lookup table was created to reflect the actual hair dye result data, this new image processing shows a better hair color rendering result which close to the real hair dye coloring.