A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images
Abstract With the advances in technology, humans tend to explore the world underwater in a more constructive way than before. The appearance of an underwater object varies depending on depth, biological composition, temperature, ocean currents, and other factors. This results in colour distorted ima...
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Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-76468-w |
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| author | Venkata Lalitha Narla Gulivindala Suresh Chanamallu Srinivasa Rao Mohammed Al Awadh Nasim Hasan |
| author_facet | Venkata Lalitha Narla Gulivindala Suresh Chanamallu Srinivasa Rao Mohammed Al Awadh Nasim Hasan |
| author_sort | Venkata Lalitha Narla |
| collection | DOAJ |
| description | Abstract With the advances in technology, humans tend to explore the world underwater in a more constructive way than before. The appearance of an underwater object varies depending on depth, biological composition, temperature, ocean currents, and other factors. This results in colour distorted images and hazy images with low contrast. To address the aforesaid problems, in proposed approach, initially White balance algorithm is carried out to pre-process original underwater image. Contrast enhanced image is achieved by applying the Contrast Limited Adaptive Histogram Equalization algorithm (CLAHE). In CLAHE, tile size and clip limit are the major parameters that control the enhanced image quality. Hence, to enhance the contrast of images optimally, Firefly algorithm is adopted for CLAHE. Dark Channel Prior algorithm (DCP) is modified with guided filter correction to get the sharpened version of the underwater image. Multiscale fusion strategy was performed to fuse CLAHE enhanced and dehazed images. Finally, the restored image is treated with optimal CLAHE to improve visibility of enhanced underwater image. Experimentation is carried out on different underwater image datasets such as U45 and RUIE and resulted in UIQM = 5.1384, UCIQE = 0.6895 and UIQM = 5.4875, UCIQE = 0.6953 respectively which shows the superiority of proposed approach. |
| format | Article |
| id | doaj-art-352846d36e554af89c2d3b2a1aca2c4a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-352846d36e554af89c2d3b2a1aca2c4a2024-11-17T12:24:29ZengNature PortfolioScientific Reports2045-23222024-11-0114111310.1038/s41598-024-76468-wA multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater imagesVenkata Lalitha Narla0Gulivindala Suresh1Chanamallu Srinivasa Rao2Mohammed Al Awadh3Nasim Hasan4Department of Electronics and Communication Engineering, Aditya UniversityDepartment of Electronics and Communication Engineering, Aditya UniversityDepartment of Electronics and Communication Engineering, JNTUK University College of EngineeringDepartment of Industrial Engineering, College of Engineering, King Khalid UniversitySchool of Mechanical Engineering, Mettu UniversityAbstract With the advances in technology, humans tend to explore the world underwater in a more constructive way than before. The appearance of an underwater object varies depending on depth, biological composition, temperature, ocean currents, and other factors. This results in colour distorted images and hazy images with low contrast. To address the aforesaid problems, in proposed approach, initially White balance algorithm is carried out to pre-process original underwater image. Contrast enhanced image is achieved by applying the Contrast Limited Adaptive Histogram Equalization algorithm (CLAHE). In CLAHE, tile size and clip limit are the major parameters that control the enhanced image quality. Hence, to enhance the contrast of images optimally, Firefly algorithm is adopted for CLAHE. Dark Channel Prior algorithm (DCP) is modified with guided filter correction to get the sharpened version of the underwater image. Multiscale fusion strategy was performed to fuse CLAHE enhanced and dehazed images. Finally, the restored image is treated with optimal CLAHE to improve visibility of enhanced underwater image. Experimentation is carried out on different underwater image datasets such as U45 and RUIE and resulted in UIQM = 5.1384, UCIQE = 0.6895 and UIQM = 5.4875, UCIQE = 0.6953 respectively which shows the superiority of proposed approach.https://doi.org/10.1038/s41598-024-76468-wWhite balanceCLAHEDCPMultiscale fusionUnderwater imagingColour correction |
| spellingShingle | Venkata Lalitha Narla Gulivindala Suresh Chanamallu Srinivasa Rao Mohammed Al Awadh Nasim Hasan A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images Scientific Reports White balance CLAHE DCP Multiscale fusion Underwater imaging Colour correction |
| title | A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images |
| title_full | A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images |
| title_fullStr | A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images |
| title_full_unstemmed | A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images |
| title_short | A multimodal approach with firefly based CLAHE and multiscale fusion for enhancing underwater images |
| title_sort | multimodal approach with firefly based clahe and multiscale fusion for enhancing underwater images |
| topic | White balance CLAHE DCP Multiscale fusion Underwater imaging Colour correction |
| url | https://doi.org/10.1038/s41598-024-76468-w |
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