An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior
العنوان: | An Improved Air-Light Estimation Scheme for Single Haze Images Using Color Constancy Prior |
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المؤلفون: | Bijaya Ketan Panigrahi, Tapan Kumar Gandhi, Sidharth Gautam |
المصدر: | IEEE Signal Processing Letters. 27:1695-1699 |
بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Brightness, Haze, Pixel, Color constancy, Computer science, business.industry, Applied Mathematics, 020206 networking & telecommunications, 02 engineering and technology, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Radiance, RGB color model, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business |
الوصف: | Hazy environment attenuates the scene radiance and causes difficulty in distinguishing the color and texture of the scene. A crucial step in dehazing is the recovery of the global air-light vector. Traditional methods usually interpret the RGB value of the brightest region in haze images as the air-light. In this letter, a new prior called ‘color constancy prior’ has been proposed to improve the robustness of air-light estimation when varicolored illumination exists. The prior utilizes the statistical observation that distant scenery objects become the most haze-opaque due to the pixel escalation towards the higher intensity side. The comparative evaluation on a variety of haze images manifests that the proposed prior perform better than existing air-light recovery methods and can be used for subsequent dehazing applications. |
تدمد: | 1558-2361 1070-9908 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::b482fd6edcb8a2873693b79810345d40 https://doi.org/10.1109/lsp.2020.3025462 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........b482fd6edcb8a2873693b79810345d40 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15582361 10709908 |
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