Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation
This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spatial resolution of the transmission map depends...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/3/1165 |
| _version_ | 1818440152211521536 |
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| author | Yutaro Iwamoto Naoaki Hashimoto Yen-Wei Chen |
| author_facet | Yutaro Iwamoto Naoaki Hashimoto Yen-Wei Chen |
| author_sort | Yutaro Iwamoto |
| collection | DOAJ |
| description | This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spatial resolution of the transmission map depends on the patch size and it loses the detailed structure with large patch sizes, original work refines the transmission map using an image-matting technique. However, it requires high computational cost and is not adequate for real-time application. To solve these problems, we use normalised pixel-wise haze estimation without losing the detailed structure of the transmission map. This study also proposes robust atmospheric-light estimation using a coarse-to-fine search strategy and down-sampled haze estimation for acceleration. Experiments with actual and simulated haze images showed that the proposed method achieves real-time results of visually and quantitatively acceptable quality compared with other conventional methods of haze removal. |
| first_indexed | 2024-12-14T18:07:49Z |
| format | Article |
| id | doaj.art-c509a8f4f9a5492b91feb740bd49f91b |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-14T18:07:49Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c509a8f4f9a5492b91feb740bd49f91b2022-12-21T22:52:20ZengMDPI AGApplied Sciences2076-34172020-02-01103116510.3390/app10031165app10031165Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light EstimationYutaro Iwamoto0Naoaki Hashimoto1Yen-Wei Chen2College of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, Shiga 525-8577, JapanThis study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spatial resolution of the transmission map depends on the patch size and it loses the detailed structure with large patch sizes, original work refines the transmission map using an image-matting technique. However, it requires high computational cost and is not adequate for real-time application. To solve these problems, we use normalised pixel-wise haze estimation without losing the detailed structure of the transmission map. This study also proposes robust atmospheric-light estimation using a coarse-to-fine search strategy and down-sampled haze estimation for acceleration. Experiments with actual and simulated haze images showed that the proposed method achieves real-time results of visually and quantitatively acceptable quality compared with other conventional methods of haze removal.https://www.mdpi.com/2076-3417/10/3/1165haze removaldark channelatmospheric-light estimationcoarse-to-fine search strategy |
| spellingShingle | Yutaro Iwamoto Naoaki Hashimoto Yen-Wei Chen Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation Applied Sciences haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy |
| title | Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation |
| title_full | Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation |
| title_fullStr | Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation |
| title_full_unstemmed | Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation |
| title_short | Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation |
| title_sort | real time haze removal using normalised pixel wise dark channel prior and robust atmospheric light estimation |
| topic | haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy |
| url | https://www.mdpi.com/2076-3417/10/3/1165 |
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