In the same category fall the methods developed by Täschler. The major disadvantage of this method is represented by the fact that it cannot reconstruct textures. The algorithm is efficient when applied to images with narrow damages, since it makes use of anisotropic diffusion which leads to blurring effects. , who proposed a method in which the information is propagated in the occluded area, through isophote lines that cross the edges. īased on the PDE model, the first approach belongs to Bertalmio et al. In spite of these three categories, methods may be divided in partial derivative equations (PDE) based algorithms, semiautomatic inpainting methods, texture synthesis methods, algorithms based on models/templates, and hybrid techniques depending on specific characteristics.
Restoration methods can be classified in three major categories: structural inpainting techniques, textural inpainting methods, and hybrid methods. Image inpainting refers to restoration methods used to remove damage or unwanted objects from an image, in a natural manner, such that a neutral observer would not notice any changes and consider the result as being the original image. The process of region filling following the loss of information in digital images represents an important aspect in image processing. Based on these experiments, we have proposed an adaptation of Oliveira’s and Hadhoud’s algorithms, which are performing well on images with natural defects. Conclusions regarding the performance of the investigated algorithms have been presented, categorizing them in function of the restored image structure. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR.
The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. Among them, image inpainting is maybe the most impressive and useful.
#The inpaint series
With the upgrowing of digital processing of images and film archiving, the need for assisted or unsupervised restoration required the development of a series of methods and techniques.
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