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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
Visual comparison of the proposed methods; (a) simulation of a natural defect; (b) the corresponding masks; (c) result of the Oliveira method; (d) result of the proposed adaptation of Oliveira method; (e) result of the Hadhoud method; (f) result of the proposed adaptation of Hadhoud method.
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Related In: Results  -  Collection


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fig3: Visual comparison of the proposed methods; (a) simulation of a natural defect; (b) the corresponding masks; (c) result of the Oliveira method; (d) result of the proposed adaptation of Oliveira method; (e) result of the Hadhoud method; (f) result of the proposed adaptation of Hadhoud method.

Mentions: In the image shown in Figure 3(a), we have applied a defect that could be considered close to a natural one. The blue mask will be processed using Oliveira's or Hadhoud's method, as for the yellow mask, an anisotropic diffusion will be applied. It can be noticed from the result in Figure 3 and Table 1 that our proposal offers improvements regarding Hadhoud's method. However, it worth mentioning that the results would be more relevant if images with natural defects would have been tested and their originals could be used as a ground truth.


Image inpainting methods evaluation and improvement.

Vreja R, Brad R - ScientificWorldJournal (2014)

Visual comparison of the proposed methods; (a) simulation of a natural defect; (b) the corresponding masks; (c) result of the Oliveira method; (d) result of the proposed adaptation of Oliveira method; (e) result of the Hadhoud method; (f) result of the proposed adaptation of Hadhoud method.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig3: Visual comparison of the proposed methods; (a) simulation of a natural defect; (b) the corresponding masks; (c) result of the Oliveira method; (d) result of the proposed adaptation of Oliveira method; (e) result of the Hadhoud method; (f) result of the proposed adaptation of Hadhoud method.
Mentions: In the image shown in Figure 3(a), we have applied a defect that could be considered close to a natural one. The blue mask will be processed using Oliveira's or Hadhoud's method, as for the yellow mask, an anisotropic diffusion will be applied. It can be noticed from the result in Figure 3 and Table 1 that our proposal offers improvements regarding Hadhoud's method. However, it worth mentioning that the results would be more relevant if images with natural defects would have been tested and their originals could be used as a ground truth.

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