Image inpainting using reference image texture and distress image color
Shiyao Yang · Journal of Computer Applications · 2014
While dealing with a target image of large damaged area and complex structure, the traditional image restoration algorithms cannot get sufficient information from it, leading to unsatisfactory repair effects. An algorithm based on the texture of reference image and the color of target image was proposed to overcome this defect. First, the suitable reference image was obtained by using intelligent search from similar images in image database and the template fill was performed on the damaged regions by selecting appropriate content from reference image. Then, the restored boundary was smoothed by the texture information of both reference image and target image. Color transfer and colorization was implemented to make the appearance of repaired part in accordance with its surroundings. The experimental results show that this approach can obtain better results and keep smooth region boundaries in visual effect.