An image enhancement method based on a s-sharp function and pixel neighborhood information
Image enhancement is a significant field in image processing. This paper proposes an enhancement method based on an S-sharp function of grayscale transformation and neighborhood information. Firstly, a function is established based on the sine function. Then, the image threshold is added into the fu...
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| Format: | Article |
| Language: | English English |
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Universiti Malaysia Sabah
2021
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| Online Access: | https://eprints.ums.edu.my/id/eprint/30452/1/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information.pdf https://eprints.ums.edu.my/id/eprint/30452/2/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information1.pdf |
| _version_ | 1825714357604974592 |
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| author | Libao Yang Suzelawati Zenian Rozaimi Zakaria |
| author_facet | Libao Yang Suzelawati Zenian Rozaimi Zakaria |
| author_sort | Libao Yang |
| collection | UMS |
| description | Image enhancement is a significant field in image processing. This paper proposes an enhancement method based on an S-sharp function of grayscale transformation and neighborhood information. Firstly, a function is established based on the sine function. Then, the image threshold is added into the function. Finally, the result grayscales are modified by parameter, where parameter is determined by the image pixel neighborhood information. In general, in the result image, each pixel grayscale is determined by both the sine function with threshold and the parameter. In the experiment results, the NIEM method (we proposed) achieves better performance than the comparison algorithms. It gets the smallest MSE and the highest PSNR, SSIM. In image Lena test, MSE value:330.8151, PSNR value:22.9350, and SSIM value: 0.9451. In image Pout test, MSE value:132.0988, PSNR value:26.9218, and SSIM value: 0.9604. |
| first_indexed | 2024-03-06T03:10:37Z |
| format | Article |
| id | ums.eprints-30452 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:10:37Z |
| publishDate | 2021 |
| publisher | Universiti Malaysia Sabah |
| record_format | dspace |
| spelling | ums.eprints-304522021-09-22T00:23:46Z https://eprints.ums.edu.my/id/eprint/30452/ An image enhancement method based on a s-sharp function and pixel neighborhood information Libao Yang Suzelawati Zenian Rozaimi Zakaria TA1501-1820 Applied optics. Photonics Image enhancement is a significant field in image processing. This paper proposes an enhancement method based on an S-sharp function of grayscale transformation and neighborhood information. Firstly, a function is established based on the sine function. Then, the image threshold is added into the function. Finally, the result grayscales are modified by parameter, where parameter is determined by the image pixel neighborhood information. In general, in the result image, each pixel grayscale is determined by both the sine function with threshold and the parameter. In the experiment results, the NIEM method (we proposed) achieves better performance than the comparison algorithms. It gets the smallest MSE and the highest PSNR, SSIM. In image Lena test, MSE value:330.8151, PSNR value:22.9350, and SSIM value: 0.9451. In image Pout test, MSE value:132.0988, PSNR value:26.9218, and SSIM value: 0.9604. Universiti Malaysia Sabah 2021 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/30452/1/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information.pdf text en https://eprints.ums.edu.my/id/eprint/30452/2/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information1.pdf Libao Yang and Suzelawati Zenian and Rozaimi Zakaria (2021) An image enhancement method based on a s-sharp function and pixel neighborhood information. Borneo Science, 42. pp. 1-7. ISSN 1394-4339 http://borneoscience.ums.edu.my/wp-content/uploads/2021/08/BSJ-42-2021-01.pdf |
| spellingShingle | TA1501-1820 Applied optics. Photonics Libao Yang Suzelawati Zenian Rozaimi Zakaria An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title | An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title_full | An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title_fullStr | An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title_full_unstemmed | An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title_short | An image enhancement method based on a s-sharp function and pixel neighborhood information |
| title_sort | image enhancement method based on a s sharp function and pixel neighborhood information |
| topic | TA1501-1820 Applied optics. Photonics |
| url | https://eprints.ums.edu.my/id/eprint/30452/1/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information.pdf https://eprints.ums.edu.my/id/eprint/30452/2/An%20image%20enhancement%20method%20based%20on%20a%20s-sharp%20function%20and%20pixel%20neighborhood%20information1.pdf |
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