Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach
Endoscopies are helpful for examining internal organs, including the gastrointestinal tract. The endoscope device consists of a flexible tube to which a camera and light source are attached. The diagnostic process heavily depends on the quality of the endoscopic images. That is why the visual qualit...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/10/1/28 |
| _version_ | 1797343334028541952 |
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| author | Shiva Moghtaderi Omid Yaghoobian Khan A. Wahid Kiven Erique Lukong |
| author_facet | Shiva Moghtaderi Omid Yaghoobian Khan A. Wahid Kiven Erique Lukong |
| author_sort | Shiva Moghtaderi |
| collection | DOAJ |
| description | Endoscopies are helpful for examining internal organs, including the gastrointestinal tract. The endoscope device consists of a flexible tube to which a camera and light source are attached. The diagnostic process heavily depends on the quality of the endoscopic images. That is why the visual quality of endoscopic images has a significant effect on patient care, medical decision-making, and the efficiency of endoscopic treatments. In this study, we propose an endoscopic image enhancement technique based on image fusion. Our method aims to improve the visual quality of endoscopic images by first generating multiple sub images from the single input image which are complementary to one another in terms of local and global contrast. Then, each sub layer is subjected to a novel wavelet transform and guided filter-based decomposition technique. To generate the final improved image, appropriate fusion rules are utilized at the end. A set of upper gastrointestinal tract endoscopic images were put to the test in studies to confirm the efficacy of our strategy. Both qualitative and quantitative analyses show that the proposed framework performs better than some of the state-of-the-art algorithms. |
| first_indexed | 2024-03-08T10:46:06Z |
| format | Article |
| id | doaj.art-473a65b763a54c14be69898f75d953ff |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-08T10:46:06Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-473a65b763a54c14be69898f75d953ff2024-01-26T17:12:01ZengMDPI AGJournal of Imaging2313-433X2024-01-011012810.3390/jimaging10010028Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion ApproachShiva Moghtaderi0Omid Yaghoobian1Khan A. Wahid2Kiven Erique Lukong3Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, CanadaDepartment of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, CanadaDepartment of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, CanadaDepartment of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK S7N 5E5, CanadaEndoscopies are helpful for examining internal organs, including the gastrointestinal tract. The endoscope device consists of a flexible tube to which a camera and light source are attached. The diagnostic process heavily depends on the quality of the endoscopic images. That is why the visual quality of endoscopic images has a significant effect on patient care, medical decision-making, and the efficiency of endoscopic treatments. In this study, we propose an endoscopic image enhancement technique based on image fusion. Our method aims to improve the visual quality of endoscopic images by first generating multiple sub images from the single input image which are complementary to one another in terms of local and global contrast. Then, each sub layer is subjected to a novel wavelet transform and guided filter-based decomposition technique. To generate the final improved image, appropriate fusion rules are utilized at the end. A set of upper gastrointestinal tract endoscopic images were put to the test in studies to confirm the efficacy of our strategy. Both qualitative and quantitative analyses show that the proposed framework performs better than some of the state-of-the-art algorithms.https://www.mdpi.com/2313-433X/10/1/28endoscopic imagesimage enhancementimage fusionbiomedical image processing |
| spellingShingle | Shiva Moghtaderi Omid Yaghoobian Khan A. Wahid Kiven Erique Lukong Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach Journal of Imaging endoscopic images image enhancement image fusion biomedical image processing |
| title | Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach |
| title_full | Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach |
| title_fullStr | Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach |
| title_full_unstemmed | Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach |
| title_short | Endoscopic Image Enhancement: Wavelet Transform and Guided Filter Decomposition-Based Fusion Approach |
| title_sort | endoscopic image enhancement wavelet transform and guided filter decomposition based fusion approach |
| topic | endoscopic images image enhancement image fusion biomedical image processing |
| url | https://www.mdpi.com/2313-433X/10/1/28 |
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