Interactive Image Quality Enhancement Support System by Tone Curve Correction Based on Human KANSEI

Recently, various display equipments such as LCDs, CRTs, and projectors have been widely used, and people's interests in image quality enhancement have increased significantly. Common display users are unable to adjust image quality by themselves because they do not have sufficient knowledge about adjusting the image quality. The authors focus a tone reproduction of display, which is one of the important factors for image quality enhancement, and aim to develop an image quality enhancement support system to help the display users adjust the image quality of displays. The system optimizes the parameters that control the tone reproduction on the basis of user's subjectivity or KANSEI. The tone reproduction is controlled by a tone curve that consists of a transformation equation with parameters. The proposed method can reflect human preference; applied interactive evolutionary computation is used as an optimization method. An optimum set of parameters are derived on the basis of human subjectivity or KANSEI using interactive evolutionary computation. This technique is verified by comparing it with the image quality derived manually and the manual derivation time.