| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 98 === Auto photo beautification such as automatic white balance, noise reduction, and automatic human face beautification play important roles of promoting the quality of photograph because of the popularity of digital image production such as digital camera and printer.
However, due to input image variety, algorithms such as automatic human face beautification and photo color enhancement are hard to automate. Parameters of algorithm usually have to be adjusted manually, and users have to learn how to adjust them. That increases the difficulty of using those products.
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.
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