An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation
In view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. In order to restore every damaged point, the information of known pixel points around the damaged point was used t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2018/9801361 |
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| _version_ | 1832545317612945408 |
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| author | Lei He Yan Xing Kangxiong Xia Jieqing Tan |
| author_facet | Lei He Yan Xing Kangxiong Xia Jieqing Tan |
| author_sort | Lei He |
| collection | DOAJ |
| description | In view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. In order to restore every damaged point, the information of known pixel points around the damaged point was used to interpolate the intensity of the damaged point. The proposed method included two steps; firstly, Thiele’s rational interpolation combined with the mask image was used to interpolate adaptively the intensities of damaged points to get an initial repaired image, and then Newton-Thiele’s rational interpolation was used to refine the initial repaired image to get a final result. In order to show the superiority of the proposed algorithm, plenty of experiments were tested on damaged images. Subjective evaluation and objective evaluation were used to evaluate the quality of repaired images, and the objective evaluation was comparison of Peak Signal to Noise Ratios (PSNRs). The experimental results showed that the proposed algorithm had better visual effect and higher Peak Signal to Noise Ratio compared with the state-of-the-art methods. |
| format | Article |
| id | doaj-art-916d0703b1584b4196c95ff48863cfcf |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-916d0703b1584b4196c95ff48863cfcf2025-02-03T07:26:13ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/98013619801361An Adaptive Image Inpainting Method Based on Continued Fractions InterpolationLei He0Yan Xing1Kangxiong Xia2Jieqing Tan3School of Mathematics, Hefei University of Technology, Hefei 230009, ChinaSchool of Mathematics, Hefei University of Technology, Hefei 230009, ChinaBeijing Institute of Technology, Beijing 100081, ChinaSchool of Mathematics, Hefei University of Technology, Hefei 230009, ChinaIn view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. In order to restore every damaged point, the information of known pixel points around the damaged point was used to interpolate the intensity of the damaged point. The proposed method included two steps; firstly, Thiele’s rational interpolation combined with the mask image was used to interpolate adaptively the intensities of damaged points to get an initial repaired image, and then Newton-Thiele’s rational interpolation was used to refine the initial repaired image to get a final result. In order to show the superiority of the proposed algorithm, plenty of experiments were tested on damaged images. Subjective evaluation and objective evaluation were used to evaluate the quality of repaired images, and the objective evaluation was comparison of Peak Signal to Noise Ratios (PSNRs). The experimental results showed that the proposed algorithm had better visual effect and higher Peak Signal to Noise Ratio compared with the state-of-the-art methods.http://dx.doi.org/10.1155/2018/9801361 |
| spellingShingle | Lei He Yan Xing Kangxiong Xia Jieqing Tan An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation Discrete Dynamics in Nature and Society |
| title | An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation |
| title_full | An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation |
| title_fullStr | An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation |
| title_full_unstemmed | An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation |
| title_short | An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation |
| title_sort | adaptive image inpainting method based on continued fractions interpolation |
| url | http://dx.doi.org/10.1155/2018/9801361 |
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