Single Image Dehazing Using Invariance Principle
نویسندگان
چکیده
منابع مشابه
Improved Single Image Dehazing Using Guided Filter
Single image dehazing is challenging because it is massively ill-posed. Haze removal based on dark channel prior is effective, but refining the transmission map with closed-form matting is computationally expensive. Recent work discovered that using guided filter to refine the transmission map is feasible. In this paper, we elaborate single image dehazing by combining dark channel prior and gui...
متن کاملSingle Image Dehazing Using Color Attenuation Prior
In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters of the model by using a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can ...
متن کاملImproving Dark Channel Prior for Single Image Dehazing
This paper proposes an improved dark channel prior for removing haze from images. Dark channel prior is an effective method for removing haze. Dark channel is an image in the same size as the hazy image which is obtained by dividing the RGB images into windows and for each window, the minimum of each R, G and B channels are calculated. Then again the minimum of these three values is calculated ...
متن کاملSingle Image & Video Dehazing Using Color Attenuation Prior
Outdoor images Outdoor images that are captured in inclement weather are degraded due to factors like haze and fog. This factor diminishes the visibility of the image. Haze is formed due to two fundamental phenomena namely, attenuation and the air light. Attenuation reduces the scene contrast and air light increases the whiteness in the scene. Images may also contain impulse noises which are pr...
متن کاملSingle Image Dehazing Using Fixed Points and Nearest-Neighbor Regularization
Natural images captured in bad weather conditions often suffer from poor visibility. Dehazing, the process of removing haze from a single input image or multiple images, is a crucial task in image and video processing, which is quite challenging because the number of freedoms is lager than the number of observations. In this paper, we propose a novel method to reduce the block artifacts and hal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2017edl8134