VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image
Outdoor images are typically degraded by light scattering and absorption from aerosols, such as dust, mist, and smoke in the atmosphere. Because of poor visibility, dimmed brightness, low contrast, and colour distortion, these phenomena affect the captured image. Therefore, it is a critical challeng...
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| Format: | Conference or Workshop Item |
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2021
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| author | Husain, Noor Asma Mohd. Rahim, Mohd. Shafry Kari, Sarudin Chaudhry, Huma |
| author_facet | Husain, Noor Asma Mohd. Rahim, Mohd. Shafry Kari, Sarudin Chaudhry, Huma |
| author_sort | Husain, Noor Asma |
| collection | ePrints |
| description | Outdoor images are typically degraded by light scattering and absorption from aerosols, such as dust, mist, and smoke in the atmosphere. Because of poor visibility, dimmed brightness, low contrast, and colour distortion, these phenomena affect the captured image. Therefore, it is a critical challenge to recover pictures taken in a haze condition, which is called image dehazing. The primary aim of image dehazing is to improve details on visibility, edge, and texture and retain the image structure and colours without data loss. There are no proven benchmarks for their assessment, despite the many algorithms suggested for single image dehazing. In previous publications, arbitrary comparisons were mostly focused on a small number of images, with different publications using different sets of images. This paper presents VRHAZE, a new dataset that includes eight image pairs of hazy and corresponding outdoor images that are haze-free (ground-truth). Most of the current hazy database presented in a single image simulated synthetic haze indicated complicated calculation of the depth map. Unlike most of the current dehazing databases, a synthetic haze, which is determined by the atmospheric scattering algorithm derived from the actual distance from the camera to the scene object, has simulated hazy images. In the separate range, the synthetic haze derivation referred from the meteorological range explicitly based on haze conditions. On a clear day as referred to as a low Air Pollutant Index, this experiment simulated synthetic haze in the Malaysian outdoor scene. The haze simulation illustrates how this VRHAZE approach can lead to better outcomes in the measurement of image quality than the current state-of-the-art dehazing method. |
| first_indexed | 2024-03-05T21:02:38Z |
| format | Conference or Workshop Item |
| id | utm.eprints-94335 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:02:38Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | utm.eprints-943352022-03-31T15:14:39Z http://eprints.utm.my/94335/ VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image Husain, Noor Asma Mohd. Rahim, Mohd. Shafry Kari, Sarudin Chaudhry, Huma QA75 Electronic computers. Computer science Outdoor images are typically degraded by light scattering and absorption from aerosols, such as dust, mist, and smoke in the atmosphere. Because of poor visibility, dimmed brightness, low contrast, and colour distortion, these phenomena affect the captured image. Therefore, it is a critical challenge to recover pictures taken in a haze condition, which is called image dehazing. The primary aim of image dehazing is to improve details on visibility, edge, and texture and retain the image structure and colours without data loss. There are no proven benchmarks for their assessment, despite the many algorithms suggested for single image dehazing. In previous publications, arbitrary comparisons were mostly focused on a small number of images, with different publications using different sets of images. This paper presents VRHAZE, a new dataset that includes eight image pairs of hazy and corresponding outdoor images that are haze-free (ground-truth). Most of the current hazy database presented in a single image simulated synthetic haze indicated complicated calculation of the depth map. Unlike most of the current dehazing databases, a synthetic haze, which is determined by the atmospheric scattering algorithm derived from the actual distance from the camera to the scene object, has simulated hazy images. In the separate range, the synthetic haze derivation referred from the meteorological range explicitly based on haze conditions. On a clear day as referred to as a low Air Pollutant Index, this experiment simulated synthetic haze in the Malaysian outdoor scene. The haze simulation illustrates how this VRHAZE approach can lead to better outcomes in the measurement of image quality than the current state-of-the-art dehazing method. 2021 Conference or Workshop Item PeerReviewed Husain, Noor Asma and Mohd. Rahim, Mohd. Shafry and Kari, Sarudin and Chaudhry, Huma (2021) VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image. In: 6th International Conference on Interactive Digital Media, ICIDM 2020, 14 - 15 December 2020, Virtual, Bandung. http://dx.doi.org/10.1109/ICIDM51048.2020.9339638 |
| spellingShingle | QA75 Electronic computers. Computer science Husain, Noor Asma Mohd. Rahim, Mohd. Shafry Kari, Sarudin Chaudhry, Huma VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title | VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title_full | VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title_fullStr | VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title_full_unstemmed | VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title_short | VRHAZE: The simulation of synthetic haze based on visibility range for dehazing method in single image |
| title_sort | vrhaze the simulation of synthetic haze based on visibility range for dehazing method in single image |
| topic | QA75 Electronic computers. Computer science |
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