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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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The convolution kernels proposed by Oliviera et al. [9].
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: The convolution kernels proposed by Oliviera et al. [9].

Mentions: Based on the previous method, Oliviera et al. [9] have proposed an inpainting algorithm that relies exclusively on diffusion. The processing steps consist of deleting color information inside the mask followed by edge detection for the occluded area. Starting from the pixels on the edge, a convolution operation is then applied, using a neighborhood centered on each contour pixel and one of the kernels proposed (Figure 1). The values of a, b, and c for both kernels are 0.073235, 0.176765, and 0.125, respectively [9].


Image inpainting methods evaluation and improvement.

Vreja R, Brad R - ScientificWorldJournal (2014)

The convolution kernels proposed by Oliviera et al. [9].
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig1: The convolution kernels proposed by Oliviera et al. [9].
Mentions: Based on the previous method, Oliviera et al. [9] have proposed an inpainting algorithm that relies exclusively on diffusion. The processing steps consist of deleting color information inside the mask followed by edge detection for the occluded area. Starting from the pixels on the edge, a convolution operation is then applied, using a neighborhood centered on each contour pixel and one of the kernels proposed (Figure 1). The values of a, b, and c for both kernels are 0.073235, 0.176765, and 0.125, respectively [9].

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