Study On AlgorithmL For Image Inpainting Based Fractal

Digital Image inpainting is a research focus of the graphic image processing, it have important value in the protection of cultural relics, video graphics production, virtual realization and the surplus removed, digital image inpainting refers to using a certain algorithms to filling the data into damage areas, including damage image restoration, remove or replace designated part of the image. Achieve visual effects as original image or close to original image. Its basic principle is to use correlation information of damaged regional and it's edge to restoration damaged image.From the mathematical point of view, image inpainting is a sick problem, because not enough information is available to ensure that only correct and restore the damaged part of its restoration is known around the proliferation of pixels on the basis of the original image pixel approximation, we therefore propose the algorithm is to meet certain false the conditions set down problem. Usually, image repair in order to achieve the visual effect is: If the observers had no seen the original image, which he resolved not by the image should be restored. Virtually all the inpainting algorithm results to meet the visual requirements, but the complexity of the algorithm, and the scope have a greater difference.This paper will decomposed image into structure and texture firstly ,for the structure component, the mature inapainting techniques based on PDE is used. for the texture component, texture synthesis technology is used for restoration.The texture and structure parallel to inapaingting, making the speed of inpingting is enhanced fast when using the algorithm proposed in this paper , the defect of previous algorithm such as not continuous at boundary or corner is overcomed. The experimental results indicate that this algorithm have some notable feature as low algorithm complexity high efficiency ,high calculation speed, and so on.