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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.

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Related in: MedlinePlus

Test images with damage of (a) 983 pixels, (c) 2120 pixels and the corresponding results (b) and (d) obtained with Criminisi's algorithm.
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Related In: Results  -  Collection


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fig9: Test images with damage of (a) 983 pixels, (c) 2120 pixels and the corresponding results (b) and (d) obtained with Criminisi's algorithm.

Mentions: For the last two methods, there are some improvements, but it is important to mention that, in the case of textural images, the PSNR value is not relevant, as inpainting is performed by the replication of information from a source area and not by actual propagation inside the mask. Consequently, as the mask increases, it is likely to obtain lower PSNR values and still have a very successful visual effect (as it can be seen from Figure 9). In the case of diffusion methods, the results are less successful, leading to color spread and causing blurring effects.


Image inpainting methods evaluation and improvement.

Vreja R, Brad R - ScientificWorldJournal (2014)

Test images with damage of (a) 983 pixels, (c) 2120 pixels and the corresponding results (b) and (d) obtained with Criminisi's algorithm.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig9: Test images with damage of (a) 983 pixels, (c) 2120 pixels and the corresponding results (b) and (d) obtained with Criminisi's algorithm.
Mentions: For the last two methods, there are some improvements, but it is important to mention that, in the case of textural images, the PSNR value is not relevant, as inpainting is performed by the replication of information from a source area and not by actual propagation inside the mask. Consequently, as the mask increases, it is likely to obtain lower PSNR values and still have a very successful visual effect (as it can be seen from Figure 9). In the case of diffusion methods, the results are less successful, leading to color spread and causing blurring effects.

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
Related in: MedlinePlus