Joint method using Akamatsu and discrete wavelet transform for image restoration
Current technology makes it easy for humans to take an image and convert it to digital content, but sometimes there is additional noise in the image so it looks damaged. The damage that often occurs, like blurring and excessive noise in digital images, can certainly affect the meaning and quality of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2023-06-01
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| Series: | Applied Computing and Informatics |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.10.002/full/pdf |
| _version_ | 1797796861474504704 |
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| author | Jihad Maulana Akbar De Rosal Ignatius Moses Setiadi |
| author_facet | Jihad Maulana Akbar De Rosal Ignatius Moses Setiadi |
| author_sort | Jihad Maulana Akbar |
| collection | DOAJ |
| description | Current technology makes it easy for humans to take an image and convert it to digital content, but sometimes there is additional noise in the image so it looks damaged. The damage that often occurs, like blurring and excessive noise in digital images, can certainly affect the meaning and quality of the image. Image restoration is a process used to restore the image to its original state before the image damage occurs. In this research, we proposed an image restoration method by combining Wavelet transformation and Akamatsu transformation. Based on previous research Akamatsu's transformation only works well on blurred images. In order not to focus solely on blurry images, Akamatsu's transformation will be applied based on Wavelet transformations on high-low (HL), low-high (LH), and high-high (HH) subunits. The result of the proposed method will be comparable with the previous methods. PSNR is used as a measure of image quality restoration. Based on the results the proposed method can improve the quality of the restoration on image noise, such as Gaussian, salt and pepper, and also works well on blurred images. The average increase is around 2 dB based on the PSNR calculation. |
| first_indexed | 2024-03-13T03:39:26Z |
| format | Article |
| id | doaj.art-693b4e855e884bc897842af01679d324 |
| institution | Directory Open Access Journal |
| issn | 2634-1964 2210-8327 |
| language | English |
| last_indexed | 2024-03-13T03:39:26Z |
| publishDate | 2023-06-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Applied Computing and Informatics |
| spelling | doaj.art-693b4e855e884bc897842af01679d3242023-06-23T09:37:54ZengEmerald PublishingApplied Computing and Informatics2634-19642210-83272023-06-01193/422623810.1016/j.aci.2019.10.002Joint method using Akamatsu and discrete wavelet transform for image restorationJihad Maulana Akbar0De Rosal Ignatius Moses Setiadi1Department of Informatics Engineering, Faculty of Computer Science, Dian Nuswantoro University, Semarang, IndonesiaDepartment of Informatics Engineering, Faculty of Computer Science, Dian Nuswantoro University, Semarang, IndonesiaCurrent technology makes it easy for humans to take an image and convert it to digital content, but sometimes there is additional noise in the image so it looks damaged. The damage that often occurs, like blurring and excessive noise in digital images, can certainly affect the meaning and quality of the image. Image restoration is a process used to restore the image to its original state before the image damage occurs. In this research, we proposed an image restoration method by combining Wavelet transformation and Akamatsu transformation. Based on previous research Akamatsu's transformation only works well on blurred images. In order not to focus solely on blurry images, Akamatsu's transformation will be applied based on Wavelet transformations on high-low (HL), low-high (LH), and high-high (HH) subunits. The result of the proposed method will be comparable with the previous methods. PSNR is used as a measure of image quality restoration. Based on the results the proposed method can improve the quality of the restoration on image noise, such as Gaussian, salt and pepper, and also works well on blurred images. The average increase is around 2 dB based on the PSNR calculation.https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.10.002/full/pdfAkamatsu transformBlurred imageDiscrete wavelet transformImage DenoisingImage restoration |
| spellingShingle | Jihad Maulana Akbar De Rosal Ignatius Moses Setiadi Joint method using Akamatsu and discrete wavelet transform for image restoration Applied Computing and Informatics Akamatsu transform Blurred image Discrete wavelet transform Image Denoising Image restoration |
| title | Joint method using Akamatsu and discrete wavelet transform for image restoration |
| title_full | Joint method using Akamatsu and discrete wavelet transform for image restoration |
| title_fullStr | Joint method using Akamatsu and discrete wavelet transform for image restoration |
| title_full_unstemmed | Joint method using Akamatsu and discrete wavelet transform for image restoration |
| title_short | Joint method using Akamatsu and discrete wavelet transform for image restoration |
| title_sort | joint method using akamatsu and discrete wavelet transform for image restoration |
| topic | Akamatsu transform Blurred image Discrete wavelet transform Image Denoising Image restoration |
| url | https://www.emerald.com/insight/content/doi/10.1016/j.aci.2019.10.002/full/pdf |
| work_keys_str_mv | AT jihadmaulanaakbar jointmethodusingakamatsuanddiscretewavelettransformforimagerestoration AT derosalignatiusmosessetiadi jointmethodusingakamatsuanddiscretewavelettransformforimagerestoration |