Abstract: Image cloning is a process that makes the clone selection in the source image seamlessly
merged with the target image, aiming to generate a new image which appears natural and realistic.
While the traditional image cloning technology may introduce significant color changes in the
inserted elements. To solve the problem, we propose an efficient color-adjustment algorithm. More
specifically, firstly, our approach uses the grayworld normalization (GN) model to prejudge the color
style of the target image and get the illumination judge parameter  . Then, we get the composite
image with color control by a translational transform in the gamut space of the whole cloned region
with different distances which are designed based on the illumination judge parameter  . Finally, we
set the color distance and spatial distance as restrictions to optimize the boundaries of cloning
constituency after translation and generate the seamless result image. The proposed algorithm can be
adapt to images in different color styles with color control and avoid manual adjustment of the
parameters in the conventional methods. Various experiments verify the effectiveness of our method.

Key words: image cloning, color control, adaptive, GN model, boundary optimization