Filters








180 Hits in 5.6 sec

Image Haze Removal Algorithm Using a Logarithmic Guide Filtering and Multi-Channel Prior

Yuanyang Zou, Yingshuang Ma, Liyun Zhuang, Guoxin Wang
2021 IEEE Access  
INDEX TERMS Remove haze, hazy image, logarithmic guide filtering, multi-channel prior. 11416 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  This paper proposes a new algorithm to remove haze of hazy images.  ...  ACKNOWLEDGMENT The authors are grateful to anonymous referees for their helpful comments and suggestions, which have led to much improvement of the article.  ... 
doi:10.1109/access.2021.3050260 fatcat:5dcqc2bhqnfoncq6vvycb6y25i

Real Time Image Haze Removal on Multi-core DSP

Linting Bai, Yongwei Wu, Jianchun Xie, Pengcheng Wen
2015 Procedia Engineering  
The single image haze removal algorithm using dark channel prior can achieve great haze removal effect, but the process of optimizing the medium transmission in this algorithm costs too much time, while  ...  In this paper, a novel method is proposed which uses a new kind of filter called guided filter to optimize the medium transmission.  ...  Conclusions In this paper, we proposed a novel real time haze removal algorithm. Based on the dark channel prior, with the help of down sampling and guided filter.  ... 
doi:10.1016/j.proeng.2014.12.532 fatcat:zpft5fnuhvabhkbb6vtsm2vj3e

Modified dark channel prior based on multi-scale Retinex for power image defogging

Haiyan Yu, Jihong Wang
2021 EAI Endorsed Transactions on Scalable Information Systems  
A priori theory of dark channel optimization by guided filtering is used to obtain rough estimated transmittance. The global atmospheric light value is selected by quadtree subspace search method.  ...  In this paper, an adaptive power image defogging algorithm based on multi-scale Retinex and modified dark channel is proposed.  ...  A more accurate transmittance can be obtained by optimizing the transmittance roughly estimated by dark channel prior theory using guided filtering.  ... 
doi:10.4108/eai.7-12-2021.172363 fatcat:dyscdq62gbagfgzpye633erkfa

Improved Color Attenuation Prior for Single-Image Haze Removal

Dat Ngo, Gi-Dong Lee, Bongsoon Kang
2019 Applied Sciences  
This paper proposes a single image haze removal algorithm that shows a marked improvement on the color attenuation prior-based method.  ...  The proposed algorithm also is computationally friendly, due to the use of an efficient quad-decomposition algorithm for atmospheric light estimation and a simple modified hybrid median filter for depth  ...  Proposed Algorithm to the use of a simple mHMF in place of a very large guided image filter to refine the depth map.  ... 
doi:10.3390/app9194011 fatcat:zpnzkriwsjgcnfmmw7nxv43vyu

Improved partial differential equation and fast approximation algorithm for hazy/underwater/dust storm image enhancement

Uche Nnolim .
2019 Advances In Image and Video Processing  
The scheme is optimized using the gradient-based metric after which the obtained image is refined using a filter-based enhancement operator.  ...  Thus, they proposed a novel globally guided image filtering (G-GIF) composed of both global structure transfer filter and global edge-preserving smoothing filters for image fine structure preservation-based  ...  The outline of the paper is as follows; the second section presents a brief overview and background relating to illumination and reflectance estimation.  ... 
doi:10.14738/aivp.73.6694 fatcat:j6him27darhyziw2gzq5y55e34

Image Enhancement Algorithm Based on Depth Difference and Illumination Adjustment

Dan Li, Jinan Bao, Sizhen Yuan, Hongdong Wang, Likai Wang, Weiwei Liu, Pengwei Wang
2021 Scientific Programming  
The algorithm is based on Retinex theory, uses dark channel principle to obtain image depth of the field, and uses spectral clustering algorithm to cluster image depth.  ...  In order to improve the clarity and color fidelity of traffic images under the complex environment of haze and uneven illumination and promote road traffic safety monitoring, a traffic image enhancement  ...  K is the guide image, r is the filter size, and ⊕G(K, r) is the guided filter used on L(x, y). e illuminance component F(x, y) is obtained by guided filtering.  ... 
doi:10.1155/2021/6612471 fatcat:usex62kwezam3j6ns4mtv7l7a4

Single image dehazing through improved atmospheric light estimation

Huimin Lu, Yujie Li, Shota Nakashima, Seiichi Serikawa
2015 Multimedia tools and applications  
In this paper, we propose a single optimized image dehazing method that estimates atmospheric light efficiently and removes haze through the estimation of a semi-globally adaptive filter.  ...  Most image dehazing algorithms consider to use a hard threshold assumptions or user input to estimate atmospheric light.  ...  We also use a SAF algorithm to refine the transmission. The experimental results show that our algorithm is effective and is easier to compute than other guided filters are.  ... 
doi:10.1007/s11042-015-2977-7 fatcat:rgzb6qkf3rglpe6uhbbfzimicu

A Unified Variational Model for Single Image Dehazing

Yun Liu, Jinxia Shang, Lei Pan, Anzhi Wang, Minghui Wang
2019 IEEE Access  
Haze is a common weather phenomenon, which hinders many outdoor computer vision applications such as outdoor surveillance, navigation control, vehicle driving, and so on.  ...  The experiments on various simulated and real-world hazy images indicate that the proposed algorithm can yield considerably promising results comparative to several state-of-the-art dehazing and enhancement  ...  Motivated by dark-object subtraction technique, a novel prior knowledge-dark channel prior (DCP) is proposed by He et al.  ... 
doi:10.1109/access.2019.2894525 fatcat:u4swa4zrabfozboc4y47idwo6q

Aerial Image Enhancement based on YCbCr Color Space

2021 International Journal of Intelligent Engineering and Systems  
) are enhanced by Dark Channel Prior (DCP).  ...  In this study, a new method was proposed to enhance aerial images.  ...  [12] introduced a single image dehaze algorithm that is used a dark channel prior and a physical model.  ... 
doi:10.22266/ijies2021.1231.17 fatcat:lrvoi3uagbg5hek7rrud7cgxnm

Real Time Night Vision Surveillance using Improved Dark Channel Prior

M. V. Naga Bhushanam
2021 International Journal for Research in Applied Science and Engineering Technology  
The same idea of haze removal approach is used to boost the visual quality of night videos.  ...  Though there are many night vision enhancement techniques available in literature, this paper particularly emphasizes about Improved Dark Channel Prior algorithm and its results.  ...  RESULTS AND DISCUSSION The Dark Channel Prior algorithm is a method of Image Enhancement which specializes in Haze removal and Night Vision enhancement.  ... 
doi:10.22214/ijraset.2021.35279 fatcat:e6frigawarb3xowals5q5zjk4e

Sky detection and log illumination refinement for PDE-based hazy image contrast enhancement [article]

Uche A. Nnolim
2018 arXiv   pre-print
This report presents the results of a sky detection technique used to improve the performance of a previously developed partial differential equation (PDE)-based hazy image enhancement algorithm.  ...  The algorithms were tested with several benchmark and calibration images and compared with several standard algorithms from the literature.  ...  Software-based single image de-hazing algorithms are cheaper, faster and easier to devise and implement and are preferable to multi-image de-hazing and physical, optics-based methods.  ... 
arXiv:1712.09775v2 fatcat:kcml5dbxbfcl5d5iderdgjboea

A Comprehensive Survey and Taxonomy on Image Dehazing Based on Deep Learning [article]

Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao
2022 arXiv   pre-print
A collection of useful dehazing materials is available at https://github.com/Xiaofeng-life/AwesomeDehazing.  ...  Then, the main contributions of various dehazing algorithms are categorized and summarized. Further, quantitative and qualitative experiments of various baseline methods are carried out.  ...  All correspondence should be directed to Xiaofeng Cong and Yuan Cao.  ... 
arXiv:2106.03323v3 fatcat:pw5u5o4mljgovkovj7uhwbiwk4

Adaptive Multi-Scale Entropy Fusion De-Hazing Based on Fractional Order

Uche Nnolim
2018 Journal of Imaging  
This paper describes a proposed fractional filter-based multi-scale underwater and hazy image enhancement algorithm.  ...  The proposed system combines a modified global contrast operator with fractional order-based multi-scale filters used to generate several images, which are fused based on entropy and standard deviation  ...  Bovik, Lark Kwon Choi and Praful Gupta at the Laboratory for Image & Video Engineering (LIVE) group at the University of Texas at Austin, USA, for granting permission to use their image datasets.  ... 
doi:10.3390/jimaging4090108 fatcat:fodhseikc5dcrjpy2ufzwkt44a

MSAR‐DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution

Ying Zhou, Weipeng Jing, Jian Wang, Guangsheng Chen, Rafal Scherer, Robertas Damaševičius
2021 IET Image Processing  
High resolution remote sensing image cloud removal can bring a lot of convenience for human activities. However, the existing cloud removal algorithms have a variety of disadvantages.  ...  In order to improve the above two points, a near real-time effective algorithm is proposed, namely MSAR-Defognet (multiple scale attention residual network using for cloud remove), which consumes less  ...  [10] combined image depth information and guided filtering to improve the defogging effect of dark channel prior algorithm. In the field of remote sensing, Pan et al.  ... 
doi:10.1049/ipr2.12224 fatcat:ovmfaexeafgrdndeopauksilwm

An Effective Framework for Enhancement of Hazed and Low-Illuminated Images

Aashi Singh Bhadouria, Khushboo Agarwal
2022 International Journal for Research in Applied Science and Engineering Technology  
In this paper, we propose a new frame- work for presenting night-time hazy imaging, which works on haze removal and low-illumination correction algorithm taking into consideration both the non-uni- form  ...  Abstract: Haze removal is important for computer photography and computer vision applications.  ...  And make these images useful for various computer vision applica-tions [9] . a) Dark Channel Prior Algorithm: The dark channel prior (DCP) method [9] is statistics of the haze free outdoor images.  ... 
doi:10.22214/ijraset.2022.40382 fatcat:qmrjejv2ynezrgr6cydowiuc2i
« Previous Showing results 1 — 15 out of 180 results