Preventing Over-Enhancement Using Modified ICSO Algorithm
This paper proposes an Image Contrast Enhancement (ICE) method based on using an Improved Chicken Swarm Optimization (ICSO) algorithm to enhance images while at the same time preventing over-enhancement. In the optimization process, a new practical objective function is employed to reach three main...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10131901/ |
| _version_ | 1827934745231622144 |
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| author | Sahar Azimian Seyed Ali Amirshahi Farah Torkamani Azar |
| author_facet | Sahar Azimian Seyed Ali Amirshahi Farah Torkamani Azar |
| author_sort | Sahar Azimian |
| collection | DOAJ |
| description | This paper proposes an Image Contrast Enhancement (ICE) method based on using an Improved Chicken Swarm Optimization (ICSO) algorithm to enhance images while at the same time preventing over-enhancement. In the optimization process, a new practical objective function is employed to reach three main goals, preserving the main details, generating an image with a uniform histogram, and reducing the spikes in the modified histogram. In the proposed approach, the RGB color channels are optimized individually. The performance of the proposed method is suitable for enhancing the contrast of low- and high-contrast images. A subjective experiment is designed to visually evaluate and compare the results with other ICE methods. The simulation results on the CSIQ, TID2013, and SEID datasets show that the proposed method outperforms numerous traditional and state-of-the-art ICE techniques both subjectively and objectively. The most important advantage of the newly proposed technique is that there is an agreement among observers on when over-enhancement occurs regardless of whether the Initial processed image was of low or high contrast. |
| first_indexed | 2024-03-13T07:45:10Z |
| format | Article |
| id | doaj.art-b9901a10fefa4474907d6940b38450a6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-13T07:45:10Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b9901a10fefa4474907d6940b38450a62023-06-02T23:00:22ZengIEEEIEEE Access2169-35362023-01-0111512965130610.1109/ACCESS.2023.327925410131901Preventing Over-Enhancement Using Modified ICSO AlgorithmSahar Azimian0https://orcid.org/0000-0001-7767-1396Seyed Ali Amirshahi1https://orcid.org/0000-0003-0620-1535Farah Torkamani Azar2https://orcid.org/0000-0002-6503-1073Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, IranNorwegian University of Science and Technology, Gjovik, Colourlab, NorwayFaculty of Electrical Engineering, Shahid Beheshti University, Tehran, IranThis paper proposes an Image Contrast Enhancement (ICE) method based on using an Improved Chicken Swarm Optimization (ICSO) algorithm to enhance images while at the same time preventing over-enhancement. In the optimization process, a new practical objective function is employed to reach three main goals, preserving the main details, generating an image with a uniform histogram, and reducing the spikes in the modified histogram. In the proposed approach, the RGB color channels are optimized individually. The performance of the proposed method is suitable for enhancing the contrast of low- and high-contrast images. A subjective experiment is designed to visually evaluate and compare the results with other ICE methods. The simulation results on the CSIQ, TID2013, and SEID datasets show that the proposed method outperforms numerous traditional and state-of-the-art ICE techniques both subjectively and objectively. The most important advantage of the newly proposed technique is that there is an agreement among observers on when over-enhancement occurs regardless of whether the Initial processed image was of low or high contrast.https://ieeexplore.ieee.org/document/10131901/Contrast enhancementimage quality assessmentover-enhancement |
| spellingShingle | Sahar Azimian Seyed Ali Amirshahi Farah Torkamani Azar Preventing Over-Enhancement Using Modified ICSO Algorithm IEEE Access Contrast enhancement image quality assessment over-enhancement |
| title | Preventing Over-Enhancement Using Modified ICSO Algorithm |
| title_full | Preventing Over-Enhancement Using Modified ICSO Algorithm |
| title_fullStr | Preventing Over-Enhancement Using Modified ICSO Algorithm |
| title_full_unstemmed | Preventing Over-Enhancement Using Modified ICSO Algorithm |
| title_short | Preventing Over-Enhancement Using Modified ICSO Algorithm |
| title_sort | preventing over enhancement using modified icso algorithm |
| topic | Contrast enhancement image quality assessment over-enhancement |
| url | https://ieeexplore.ieee.org/document/10131901/ |
| work_keys_str_mv | AT saharazimian preventingoverenhancementusingmodifiedicsoalgorithm AT seyedaliamirshahi preventingoverenhancementusingmodifiedicsoalgorithm AT farahtorkamaniazar preventingoverenhancementusingmodifiedicsoalgorithm |