Abstract
Recently, various electronic displays, such as LCDs, CRTs and projectors are widely used, and people's interest of image quality enhancement rises remarkably. Common display users are unable to adjust image quality by themselves because they don't know how to adjust image quality. Therefore, the authors aim to develop an image quality enhancement support system to help the display users adjust image quality of displays. In this paper, the authors focus on lightness and color which are the important factors of image quality. Using interactive evolutionary computation, the image quality enhancement support system optimizes the image quality parameters which control lightness and color of images on the basis of user's preference. To reduce burdens for image quality evaluation, users evaluate displayed images against a standard image. This technique is verified by comparing it with a quality of image derived manually and manual derivation time.
