Color restoration algorithm for dynamic images under multiple luminance conditions using correction vectors

An algorithm for color restoration under multiple luminance conditions is proposed. It automatically produces correction vectors to restore the color information in the L∗a∗b∗ color metric space, using color values of a target object within the well-illuminated region in a given dynamic image. The use of the correction vectors provides better image quality than that obtained by the restoration algorithm using color change vectors. An experiment is done with two real dynamic images, where a walking person in a building is observed, to evaluate the performance of the proposed algorithm in terms of color-difference. The experimental results show that the restored image by the proposed algorithm decreases the color-difference by 30% compared to the restoration algorithm using color change vectors. The proposed algorithm presents the foundation to identify the person captured by a practical security system using a low cost CCD camera.