Novel Image Inpainting Based on Partial Differential Equation

Image inpainting is an important part of image processing. It is mainly used to restore the damaged image with some algorithms to attain to special goals, through the restoration of damaged painting with cracks and scratches to the removal or replacement of objects or word. This paper puts emphasis on comparing CDD model with fast inpainting model based on the Curvature Driven Diffusions(CDD). They all realize the connectivity and holistic principle, and have good ability for inpainting the large domain and minute edges, but the former inpainting speed is quite slow, the latter can overcome the shortcoming of slow speed. Experiment demonstrates this fast inpainting model can greatly advance the speed in inpainting, provided with the same quality of QCDD model.