Method for removing haze from images, captured under a wide range of lighting conditions
The presence of haze on images degrades the quality of perception and automatic analysis of scenes. One of the most popular methods of haze removal is the dark channel prior method, which is based on the Koschmieder atmospheric scattering model. However, its underlying assumptions are not met for ni...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2024-02-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-1/480112e.html |
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| author | A.I. Filin A.V. Kopylov I.A. Gracheva |
| author_facet | A.I. Filin A.V. Kopylov I.A. Gracheva |
| author_sort | A.I. Filin |
| collection | DOAJ |
| description | The presence of haze on images degrades the quality of perception and automatic analysis of scenes. One of the most popular methods of haze removal is the dark channel prior method, which is based on the Koschmieder atmospheric scattering model. However, its underlying assumptions are not met for nighttime, since localized light sources make a significant, if not the main, contribution to lighting. We propose here to use the degree of belonging of an image element to a localized light source, determined based on a one-class classifier, as a value that characterizes the confidence of the corresponding element of the estimated transmission map during its rectifi-cation based on the gamma-normal model, which makes it possible to increase the accuracy of dehazing when processing images, captured in low-light or nighttime conditions. |
| format | Article |
| id | doaj-art-0e7ab5223af14ed4ab03db038db00b16 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-0e7ab5223af14ed4ab03db038db00b162025-02-04T05:35:22ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792024-02-0148110210810.18287/2412-6179-CO-1361Method for removing haze from images, captured under a wide range of lighting conditionsA.I. Filin0A.V. Kopylov 1I.A. Gracheva2Laboratory of Cognitive Technologies and Simulation Systems, Tula State UniversityLaboratory of Cognitive Technologies and Simulation Systems, Tula State UniversityLaboratory of Cognitive Technologies and Simulation Systems, Tula State UniversityThe presence of haze on images degrades the quality of perception and automatic analysis of scenes. One of the most popular methods of haze removal is the dark channel prior method, which is based on the Koschmieder atmospheric scattering model. However, its underlying assumptions are not met for nighttime, since localized light sources make a significant, if not the main, contribution to lighting. We propose here to use the degree of belonging of an image element to a localized light source, determined based on a one-class classifier, as a value that characterizes the confidence of the corresponding element of the estimated transmission map during its rectifi-cation based on the gamma-normal model, which makes it possible to increase the accuracy of dehazing when processing images, captured in low-light or nighttime conditions.https://www.computeroptics.ru/eng/KO/Annot/KO48-1/480112e.htmlhaze removalimage restorationdark channel priortransmission mappoint-light sourcelow-light conditions |
| spellingShingle | A.I. Filin A.V. Kopylov I.A. Gracheva Method for removing haze from images, captured under a wide range of lighting conditions Компьютерная оптика haze removal image restoration dark channel prior transmission map point-light source low-light conditions |
| title | Method for removing haze from images, captured under a wide range of lighting conditions |
| title_full | Method for removing haze from images, captured under a wide range of lighting conditions |
| title_fullStr | Method for removing haze from images, captured under a wide range of lighting conditions |
| title_full_unstemmed | Method for removing haze from images, captured under a wide range of lighting conditions |
| title_short | Method for removing haze from images, captured under a wide range of lighting conditions |
| title_sort | method for removing haze from images captured under a wide range of lighting conditions |
| topic | haze removal image restoration dark channel prior transmission map point-light source low-light conditions |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO48-1/480112e.html |
| work_keys_str_mv | AT aifilin methodforremovinghazefromimagescapturedunderawiderangeoflightingconditions AT avkopylov methodforremovinghazefromimagescapturedunderawiderangeoflightingconditions AT iagracheva methodforremovinghazefromimagescapturedunderawiderangeoflightingconditions |