Results 1 to 10 of about 526,137 (172)
Self-supervised zero-shot dehazing network based on dark channel prior [PDF]
Most learning-based methods previously used in image dehazing employ a supervised learning strategy, which is time-consuming and requires a large-scale dataset. However, large-scale datasets are difficult to obtain.
Xinjie Xiao +4 more
doaj +2 more sources
Dynamic Dark Channel Prior Dehazing with Polarization
For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional
Haotong Suo +6 more
doaj +2 more sources
Image Defogging Framework Using Segmentation and the Dark Channel Prior [PDF]
Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision.
Sabiha Anan +5 more
doaj +2 more sources
Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior [PDF]
In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications.
Lingli Guo +3 more
doaj +2 more sources
Efficient Traffic Video Dehazing Using Adaptive Dark Channel Prior and Spatial–Temporal Correlations [PDF]
In order to restore traffic videos with different degrees of haziness in a real-time and adaptive manner, this paper presents an efficient traffic video dehazing method using adaptive dark channel prior and spatial-temporal correlations. This method uses
Tianyang Dong +4 more
doaj +2 more sources
IMAGE FAST DEHAZING ALGORITHM BASED ON DARK CHANNEL PRIOR IMPROVEMENT [PDF]
Aiming at the long-running time and the defogging image darkening problem in the dark channel prior algorithm, a fast deaeration algorithm based on the guided filter and improved two-dimensional gamma function for dark channel prior image is proposed ...
J. W. Li +7 more
doaj +1 more source
Single-Image Dehazing Using Extreme Reflectance Channel Prior
Image dehazing algorithms based on dark channel prior principle have achieved good results for most scenes. However, the popular dark channel prior tends to underestimate transmissions of bright areas or objects, such as the skies, white areas and self ...
Yutong Zhang +6 more
doaj +1 more source
A Single Image Enhancement Technique Using Dark Channel Prior
In this paper, we propose a novel single image enhancement technique for defogging by using dark channel prior. The traditional dark channel prior methods for defogging have problems of high time complexity, edge effect, and failure of dark channel prior.
Cong Wang +3 more
doaj +1 more source
Region Adaptive Single Image Dehazing
Image haze removal is essential in preprocessing for computer vision applications because outdoor images taken in adverse weather conditions such as fog or snow have poor visibility.
Changwon Kim
doaj +1 more source
Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior
Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to address a large band of haze, we propose a simple yet effective method for single-image dehazing based ...
Chuan Li +6 more
openaire +1 more source

