scholarly journals Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation

2020 ◽  
Vol 10 (3) ◽  
pp. 1165 ◽  
Author(s):  
Yutaro Iwamoto ◽  
Naoaki Hashimoto ◽  
Yen-Wei Chen
Keyword(s):  
Real Time ◽  
Computational Cost ◽  
Dark Channel Prior ◽  
Detailed Structure ◽  
Haze Removal ◽  
Acceptable Quality ◽  
Colour Channel ◽  
Dark Channel ◽  
High Computational Cost ◽  
Atmospheric Light

This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value. Since the spatial resolution of the transmission map depends on the patch size and it loses the detailed structure with large patch sizes, original work refines the transmission map using an image-matting technique. However, it requires high computational cost and is not adequate for real-time application. To solve these problems, we use normalised pixel-wise haze estimation without losing the detailed structure of the transmission map. This study also proposes robust atmospheric-light estimation using a coarse-to-fine search strategy and down-sampled haze estimation for acceleration. Experiments with actual and simulated haze images showed that the proposed method achieves real-time results of visually and quantitatively acceptable quality compared with other conventional methods of haze removal.

scholarly journals Real-time hardware accelerator for single image haze removal using dark channel prior and guided filter

2014 ◽  
Vol 11 (24) ◽  
pp. 20141002-20141002 ◽  
Author(s):  
Zhengfa Liang ◽  
Hengzhu Liu ◽  
Botao Zhang ◽  
Benzhang Wang
Keyword(s):  
Real Time ◽  
Guided Filter ◽  
Hardware Accelerator ◽  
Dark Channel Prior ◽  
Single Image ◽  
Haze Removal ◽  
Dark Channel

Real-time haze removal by GPU acceleration based on dark channel prior algorithm

2017 ◽  
Author(s):  
wending xiang ◽  
wenjin liu ◽  
zhenghua guo ◽  
junlong wu ◽  
ping yang ◽  
...  
Keyword(s):  
Real Time ◽  
Gpu Acceleration ◽  
Dark Channel Prior ◽  
Haze Removal ◽  
Dark Channel

Enhancement of Hazy Images Using Atmospheric Light Estimation Technique

2020 ◽  
pp. 2150078
Author(s):  
Kalimuddin Mondal ◽  
Rinku Rabidas ◽  
Rajdeep Dasgupta ◽  
Abhishek Midya ◽  
Jayasree Chakraborty
Keyword(s):  
Efficient Method ◽  
Computational Efficiency ◽  
Weather Conditions ◽  
Dark Channel Prior ◽  
Estimation Technique ◽  
Single Image ◽  
Retaining Structure ◽  
Haze Removal ◽  
Dark Channel ◽  
Atmospheric Light

Images captured in degraded weather conditions often suffer from bad visibility. Pre-existing haze removal methods, the ones that are effective are computationally complex too. In common de-hazing approaches, estimation of atmospheric light is not achieved properly as a consequence, haze is not removed significantly from the sky region. In this paper, an efficient method of haze removal from a single image is introduced. To restore haze-free images comprising of both sky as well as nonsky regions, we developed a linear model to predict atmospheric light and estimated the transmission map using the dark channel prior followed by an application of a guided filter for quick refinement. Several experiments were conducted on a large variety of images, both reference and nonreference, where the proposed image de-hazing algorithm outperforms most of the prevalent algorithms in terms of perceptual visibility of the scene and computational efficiency. The proposed method has been empirically measured through quantitative and qualitative evaluations while retaining structure, edges, and improved color.

scholarly journals Haze Removal System using Dark Channel Prior

2021 ◽  
Vol 9 (VI) ◽  
pp. 301-309
Author(s):  
Disha M. Jaiswal
Keyword(s):  
Road Traffic ◽  
Winter Season ◽  
Road Transport ◽  
Dark Channel Prior ◽  
Image Dehazing ◽  
Haze Removal ◽  
The Road ◽  
Dark Channel ◽  
Atmospheric Light ◽  
Removal System

Mostly in winter season, the Northern area of India is mostly affected due to heavy haze. The road traffic and air traffic is affected due to poor visibility. According to the survey of Ministry of Road Transport and Highways of India, the number of accident due to poor visibility increasing every year. Hence there is need of robust algorithm to enhance the visibility of the camera feed. In the proposed approach, image dehazing algorithm has been present using dark channel prior. The proposed algorithm is developed for outdoor images. The proposed system processed the image through dark channel prior, estimation of atmospheric light, estimation of transmission and scene radiance. The proposed system achieved the promising results on O-Haze dataset.

scholarly journals Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Yakun Gao ◽  
Haibin Li ◽  
Shuhuan Wen
Keyword(s):  
Histogram Equalization ◽  
New Method ◽  
Dark Channel Prior ◽  
Image Dehazing ◽  
Underwater Environment ◽  
Dark Channel ◽  
Bright Channel Prior ◽  
Channel Image ◽  
Atmospheric Light

This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.

Contrast in Haze Removal: Configurable Contrast Enhancement Model Based on Dark Channel Prior

2019 ◽  
Vol 28 (5) ◽  
pp. 2212-2227 ◽  
Author(s):  
Ping-Juei Liu ◽  
Shi-Jinn Horng ◽  
Jzau-Sheng Lin ◽  
Tianrui Li
Keyword(s):  
Contrast Enhancement ◽  
Dark Channel Prior ◽  
Haze Removal ◽  
Model Based ◽  
Dark Channel

A Modified Haze Removal Algorithm Using Dark Channel Prior

2012 ◽  
Vol 457-458 ◽  
pp. 1397-1402
Author(s):  
Xiao Tian Wu ◽  
Xing Hao Ding ◽  
Quan Xiao
Keyword(s):  
Dark Channel Prior ◽  
Haze Removal ◽  
Dark Channel

Haze removal using scale adaptive dark channel prior

2016 ◽  
Vol 45 (9) ◽  
pp. 928002
Author(s):  
宋颖超 Song Yingchao ◽  
罗海波 Luo Haibo ◽  
惠 斌 Hui Bin ◽  
常 铮 Chang Zheng
Keyword(s):  
Dark Channel Prior ◽  
Haze Removal ◽  
Dark Channel
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