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Image inpainting methods evaluation and improvement.

Vreja R, Brad R - ScientificWorldJournal (2014)

Bottom Line: The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper.Conclusions regarding the performance of the investigated algorithms have been presented, categorizing them in function of the restored image structure.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.

View Article: PubMed Central - PubMed

Affiliation: Computer Science Department, Lucian Blaga University of Sibiu, B-dul Victoriei 10, 550024 Sibiu, Romania.

ABSTRACT
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. Among them, image inpainting is maybe the most impressive and useful. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR. Conclusions regarding the performance of the investigated algorithms have been presented, categorizing them in function of the restored image structure. 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.

Show MeSH
The convolution kernels proposed by Hadhoud et al. [27].
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig2: The convolution kernels proposed by Hadhoud et al. [27].

Mentions: Hadhoud et al. [27] have proposed an improvement of Oliveira's method, regarding both the final image and the required processing time. Some steps have been kept from the original method of [9], involving the selection of the mask, followed by the removal of the existing color information in the mask. Unlike Oliveira's algorithm, the method uses a differently defined convolution kernel. The idea was to use as much as possible information from outside of the region, in view of the restoration process (Figure 2). By using more known neighbors, the restoration can be achieved even within a single iteration.


Image inpainting methods evaluation and improvement.

Vreja R, Brad R - ScientificWorldJournal (2014)

The convolution kernels proposed by Hadhoud et al. [27].
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4127254&req=5

fig2: The convolution kernels proposed by Hadhoud et al. [27].
Mentions: Hadhoud et al. [27] have proposed an improvement of Oliveira's method, regarding both the final image and the required processing time. Some steps have been kept from the original method of [9], involving the selection of the mask, followed by the removal of the existing color information in the mask. Unlike Oliveira's algorithm, the method uses a differently defined convolution kernel. The idea was to use as much as possible information from outside of the region, in view of the restoration process (Figure 2). By using more known neighbors, the restoration can be achieved even within a single iteration.

Bottom Line: The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper.Conclusions regarding the performance of the investigated algorithms have been presented, categorizing them in function of the restored image structure.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.

View Article: PubMed Central - PubMed

Affiliation: Computer Science Department, Lucian Blaga University of Sibiu, B-dul Victoriei 10, 550024 Sibiu, Romania.

ABSTRACT
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. Among them, image inpainting is maybe the most impressive and useful. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR. Conclusions regarding the performance of the investigated algorithms have been presented, categorizing them in function of the restored image structure. 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.

Show MeSH