The digital image inpainting technology based on partial differential
equations (PDEs) has become an intensive research topic over the last
few years due to the mature theory and prolific numerical algorithms of
PDEs. However, PDE based models are not effective when used to inpaint
large missing areas of images, such as that produced by object removal.
To overcome this problem, in this paper, a two-phase image inpainting
method is proposed. First, some edges which cross the damaged regions
are located and the missing parts of these edges are fitted by using the
cubic spline interpolation. These fitted edges partition the damaged regions
into some smaller damaged regions. Then these smaller regions may be inpainted
by using classical PDE models. Experiment results show that the inpainting
results by using the proposed method are better than those of BSCB model and TV model.