DIGITAL IMAGE RESTORATION USING SURF ALGORITHM
In contemporary times, the preservation of scientific and creative endeavours often relies on the utilization of film and image archives, hence emphasizing the significance of image processing as a critical undertaking. Image inpainting refers to the process of digitally altering an image in a manne...
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| Format: | Article |
| Language: | English |
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Lublin University of Technology
2024-03-01
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| Series: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
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| Online Access: | https://ph.pollub.pl/index.php/iapgos/article/view/5373 |
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| author | Shanmukhaprasanthi Tammineni Swaraiya Madhuri Rayavarapu Sasibhushana Rao Gottapu Raj Kumar Goswami |
| author_facet | Shanmukhaprasanthi Tammineni Swaraiya Madhuri Rayavarapu Sasibhushana Rao Gottapu Raj Kumar Goswami |
| author_sort | Shanmukhaprasanthi Tammineni |
| collection | DOAJ |
| description | In contemporary times, the preservation of scientific and creative endeavours often relies on the utilization of film and image archives, hence emphasizing the significance of image processing as a critical undertaking. Image inpainting refers to the process of digitally altering an image in a manner that renders the adjustments imperceptible to a viewer lacking knowledge of the original image. Image inpainting is a technique mostly employed to restore damaged regions within an image by utilizing information obtained from matching characteristics in relevant images. This process involves filling in the damaged areas and removing undesired objects. The SURF (Speeded Up Robust Feature) algorithm under consideration is partitioned into three primary phases. Firstly, the essential characteristics of the impaired image and the pertinent image are identified. In the second stage, the relationship between the damaged image and the relevant image is determined in terms of translation, scaling, and rotation. Ultimately, the destroyed area is reconstructed through the application of the inverse transformation. The quality assessment of inpainted images can be evaluated using metrics such as Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Mean Squared Error (MSE). The experimental findings provide evidence that the suggested inpainting technique is effective in terms of both speed and quality.
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| first_indexed | 2024-04-24T16:23:10Z |
| format | Article |
| id | doaj.art-25fd68ffcc574bb4af3ff761c0f9a825 |
| institution | Directory Open Access Journal |
| issn | 2083-0157 2391-6761 |
| language | English |
| last_indexed | 2024-04-24T16:23:10Z |
| publishDate | 2024-03-01 |
| publisher | Lublin University of Technology |
| record_format | Article |
| series | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| spelling | doaj.art-25fd68ffcc574bb4af3ff761c0f9a8252024-03-31T08:20:00ZengLublin University of TechnologyInformatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska2083-01572391-67612024-03-0114110.35784/iapgos.5373DIGITAL IMAGE RESTORATION USING SURF ALGORITHMShanmukhaprasanthi Tammineni0https://orcid.org/0009-0000-5352-2265Swaraiya Madhuri Rayavarapu1https://orcid.org/0009-0007-7559-2142Sasibhushana Rao Gottapu2https://orcid.org/0000-0002-0416-2918Raj Kumar Goswami3https://orcid.org/0000-0002-0651-6783Andhra University College of Engineering, Department of Electronics and Communication EngineeringAndhra University College of Engineering, Department of Electronics and Communication EngineeringAndhra University College of Engineering, Department of Electronics and Communication EngineeringGayatri Vidya Parishad College of Engineering for Women, Departement of Electronics and Communication EngineeringIn contemporary times, the preservation of scientific and creative endeavours often relies on the utilization of film and image archives, hence emphasizing the significance of image processing as a critical undertaking. Image inpainting refers to the process of digitally altering an image in a manner that renders the adjustments imperceptible to a viewer lacking knowledge of the original image. Image inpainting is a technique mostly employed to restore damaged regions within an image by utilizing information obtained from matching characteristics in relevant images. This process involves filling in the damaged areas and removing undesired objects. The SURF (Speeded Up Robust Feature) algorithm under consideration is partitioned into three primary phases. Firstly, the essential characteristics of the impaired image and the pertinent image are identified. In the second stage, the relationship between the damaged image and the relevant image is determined in terms of translation, scaling, and rotation. Ultimately, the destroyed area is reconstructed through the application of the inverse transformation. The quality assessment of inpainted images can be evaluated using metrics such as Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Mean Squared Error (MSE). The experimental findings provide evidence that the suggested inpainting technique is effective in terms of both speed and quality. https://ph.pollub.pl/index.php/iapgos/article/view/5373SURFinpaintingimage restorationimage features |
| spellingShingle | Shanmukhaprasanthi Tammineni Swaraiya Madhuri Rayavarapu Sasibhushana Rao Gottapu Raj Kumar Goswami DIGITAL IMAGE RESTORATION USING SURF ALGORITHM Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska SURF inpainting image restoration image features |
| title | DIGITAL IMAGE RESTORATION USING SURF ALGORITHM |
| title_full | DIGITAL IMAGE RESTORATION USING SURF ALGORITHM |
| title_fullStr | DIGITAL IMAGE RESTORATION USING SURF ALGORITHM |
| title_full_unstemmed | DIGITAL IMAGE RESTORATION USING SURF ALGORITHM |
| title_short | DIGITAL IMAGE RESTORATION USING SURF ALGORITHM |
| title_sort | digital image restoration using surf algorithm |
| topic | SURF inpainting image restoration image features |
| url | https://ph.pollub.pl/index.php/iapgos/article/view/5373 |
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