Results 261 to 270 of about 3,680,235 (308)

Enhanced Image Dehazing Using Bright and Dark Channel Prior

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Visibility degradation caused by haze presents a major challenge for computer vision systems in outdoor environments. This project introduces an enhanced image dehazing method based on Bright and Dark Channel Prior (BDCP), an improvement over ...
Sana Subramanyam
semanticscholar   +1 more source

Underwater Enhancement Model via Reverse Dark Channel Prior

2020
The interference of suspended particles causes the problems of color distortion, haze effect and visibility reduction in complex underwater environment. However, existing methods for enhancement often result in overexposure of the low contrast area or distortion of the seriously turbid area. The main factor is the diversity of the underwater images. In
Yue Shen, Haoran Zhao, Xin Sun 0003, Yu Zhang 0165, Junyu Dong   +4 more
openaire   +1 more source

Dark Channel Prior based Single Image Dehazing of Daylight Captures

2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2023
Real-time photographs are frequently distorted for a variety of reasons. Atmospheric factors like haze are the key factor that affects them. Every real-time image has to deal with the major problem of haze, but there are several ways to get rid of it now.
Athira Ajith, K. Vidyamol, Binet Rose Devassy, P. Manju   +3 more
semanticscholar   +1 more source

Smooth Dark Channel Prior Technique for Image Dehazing Applications

2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020
Image dehazing algorithm can restore a hazed image back to a haze-free image. Dark channel prior (DCP) is an efficient technique to estimate an airlight owing to its effectiveness. However, DCP causes considerable computation burdens, limiting its hardware efficiencies.
Hsuan-Yu Chang, Chia-Cheng Hsu, Yu-Hsuan Lee   +2 more
openaire   +2 more sources

Atmospheric scattering model and dark channel prior constraint network for environmental monitoring under hazy conditions.

Journal of Environmental Science
Environmental monitoring systems based on remote sensing technology have a wider monitoring range and longer timeliness, which makes them widely used in the detection and management of pollution sources.
Lintao Han, Hengyi Lv, Cheng-Shan Han, Yuchen Zhao, Qing Han, Hai-Long Liu   +5 more
semanticscholar   +1 more source

Accelerated haze removal for a single image by dark channel prior

Frontiers of Information Technology & Electronic Engineering, 2019
Haze scatters light transmitted in the air and reduces the visibility of images. Dealing with haze is still a challenge for image processing applications nowadays. For the purpose of haze removal, we propose an accelerated dehazing method based on single pixels.
Boxuan Yue, Kangling Liu, Zi-yang Wang, Jun Liang   +3 more
openaire   +2 more sources

Fog-Resilient Bangla Car Plate Recognition Using Dark Channel Prior and YOLO

2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Despite advancements in Automatic License Plate Detection (ALPD) methods, the majority of them fail to address the diverse image challenges faced in real-world driving scenarios.
Hamim Ibne Nasim, Fateha Jannat Printia, Md. Hasibul Hasan Himel, Rubaba Rashid, Iffat Jahan Chowdhury, Joyanta J. Mondal, Md. Farhadul Islam, Jannatun Noor   +7 more
semanticscholar   +1 more source

A dehazing algorithm using dark channel prior and contrast enhancement

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
This paper proposes a dehazing algorithm based on dark channel prior and contrast enhancement approaches. The conventional dark channel prior method removes haze and thus restores colors of objects in the scene, but it does not consider the enhancement of image contrast. On the contrary, the image contrast method improves the local contrast of objects,
Tae Ho Kil, Sang Hwa Lee, Nam Ik Cho
openaire   +2 more sources

Analysis on spectral effects of dark-channel prior for haze removal

2015 IEEE International Conference on Image Processing (ICIP), 2015
In solving the inverse problem of haze removal, the most commonly used prior in the literature is perhaps that of dark channel, which assumes that at least one pixel in a small patch has a zero or near zero intensity level in one of the RGB color channels.
Yuxiang Shen, Xiaolin Wu 0001, Xiaowei Deng   +2 more
openaire   +2 more sources

Single Image Dehazing Based on Improved Dark Channel Prior

2015
The sky region of restored images often appears serious noise and color distortion using classical dark channel prior algorithm. To address this issue, we propose an improved dark channel prior algorithm which recognizes the sky regions in hazy image by gradient threshold combined with the absolute value of the difference of atmospheric light and dark ...
Taimei Zhang, Youguang Chen
openaire   +1 more source