CS766 Project Proposal Image and video dehazing
نویسنده
چکیده
Outdoor images often suffer from low contrast and limited visibility due to haze, small particles such as dust, mist, and fumes which deflect light from its original course of propagation. Haze has two effects on the image: it weaken the imgage contrast and also adds an additive component to the image, so-called airlight. Recovering a haze-free image can restore the visibility of the scene and correct the color shift caused by the airlight. Furthermore, dehazing can benefit many computer vision algorithms which usually assume that the input image after radiometric calibration is the scene radiance and will suffer from the biased, low contrast scene radiance. Last but not lease, since haze is dependent on the unknow depth information, scene depth estimation is usually a by-product of dehazing and the depth information can be used for other applications.
منابع مشابه
End-to-End United Video Dehazing and Detection
The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been explored yet. In this paper, we propose an End-to-End Video Dehazing Network (EVD-Net), to exploit the temporal consistency between consecutive video frames. A thorough study has been conducted over a number of structure ...
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Image dehazing refers to procedures that attempt to remove the haze amount in a hazy image and grant the degraded image an overall sharpened appearance to obtain a clearer visibility and smooth image. In this paper, we studied various fast dehazing techniques like Tan’s dehazing method, Fattal’s dehazing method and Kaiming He et al, dehazing method. Among these methods the Dark Channel Prior (D...
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Most existing image dehazing methods tend to boost local image contrast for regions with heavy haze. Without special treatment, these methods may significantly amplify existing image artifacts such as noise, color aliasing and blocking, which are mostly invisible in the input images but are visually intruding in the results. This is especially the case for low quality cellphone shots or compres...
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