Enhancement of Haze Removal using Transmission Rate Compensation
نویسندگان
چکیده
منابع مشابه
Haze Removal and Color Compensation of Underwater Image
In underwater image capturing, color change and presence of haze are the two sources of distortion. These distortions are caused by light scattering and light attenuation occurred by light traveling in water with different wavelengths. These changes are caused by light incident on objects, reflected and deflected by different particles present in the propagation path before reaching the camera....
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Single image dehazing is an important low-level vision task with many applications. Early researches have investigated different kinds of visual priors to address this problem. However, they may fail when their assumptions are not valid on specific images. Recent deep networks also achieve relatively good performance in this task. But unfortunately, due to the disappreciation of rich physical r...
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Adversary imaging condition such as in a hazy weather is a challenge in the community of image processing. To address the challenge of haze removal, several model-based approaches have been reported recently. Among them, a single image haze removal scheme based on dark channel prior (DCP) was presented in [1] and has been getting popular because of its satisfactory performance for most of cases...
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The goal of Haze Removal algorithms is to recover and enhanced the scene from foggy image. Many applications need accurate Haze Removal algorithms. The de-fog feature works through a complex algorithm which based on the fog destiny of the scene, then analyses the atmospheric light and sharpness adjustments to produce image enhancement. In contrast with existing technology the proposed method fo...
متن کاملMobile Haze Removal Application
In this paper, we implement a dehazing algorithm using dark pixel detection in MatLab and C++/OpenCV. The algorithm is originally proposed in Yu et al.’s paper. The simplicity and effectiveness of the algorithm make it possible for us to run the C++/OpenCV implementation on Android phones through android NDK with reasonable speed. Keywords—dehaze; image processing; mobile application; computer ...
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ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2013
ISSN: 1226-7953
DOI: 10.5909/jbe.2013.18.2.159