Face Beautification and Color Enhancement with Scene Mode Detection

Auto photo beautification algorithms play important roles of promoting the quality of photograph because of the popularity of digital image production such as digital camera and printer. In this thesis, we develop a pipeline which combines automatic human face beautification and automatic color enhancement. The goal of this thesis is to beautify human faces and enhance the detail and color of the background of photos. The enhancement methods must produce steady and harmonious results quickly, so that our methods can be implemented on printer and used by users. Finally, we will select the best-match scene mode based on the color distribution of input image. The printer can use the corresponding profile with the information of the scene; it will make the print-out photos more colorful and vivid. Keywords-face; color; beautification; enhancement