Results 31 to 40 of about 4,248,427 (280)

Fast algorithm for dark channel prior

open access: yesElectronics Letters, 2014
A fast algorithm to calculate the dark channel prior (DCP) with the complexity constant for window size and linear for image size is presented. The strategy followed is that of ‘trade space for time’, and a data structure is developed, called the partitioned minimal table (PAMT), to orderly store the local minima of four partitions of every non ...
Renjie Gao, Yi Wang, Min Liu, Xin Fan
openaire   +1 more source

Haze Level Evaluation Using Dark and Bright Channel Prior Information

open access: yesAtmosphere, 2022
Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available in this area. In this paper, a novel haze level evaluation strategy for real-world outdoor scenes is presented.
Ying Chu, Fan Chen, Hong Fu, Hengyong Yu
doaj   +1 more source

l2‐norm‐based prior for haze‐removal from single image

open access: yesIET Computer Vision, 2016
Climatic and atmospheric phenomena – such as haze, fog and smoke – may lead to deterioration of quality and poor scenic clarity of outdoor images. In computer graphics, the authors can model these images as a linear combination of scene radiance, medium ...
Deepak Kumar Jha   +2 more
doaj   +1 more source

Image Dehazing Algorithm Using Improved Dark Channel Prior and Strategic Fusion [PDF]

open access: yesJisuanji gongcheng, 2023
To address the problems of halo effect, color distortion, and poor treatment of sky regions in the Dark Channel Prior(DCP) algorithm for image dehazing, a novel image dehazing algorithm using an improved DCP and strategic fusion is proposed. Based on the
Xiaoling WANG, Zhijie HU, Shuaishuai XU, Haoru HUANG
doaj   +1 more source

Eximious Sandstorm Image Improvement Using Image Adaptive Ratio and Brightness-Adaptive Dark Channel Prior

open access: yes, 2022
Sandstorm images have a color cast by sand particles. Hazy images have similar features to sandstorm images due to these images having a common obtaining process. To improve hazy images, various dehazing methods are being studied.
Ho Sang Lee
core   +1 more source

An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation

open access: yesRobotics, 2018
There are many tasks that require clear and easily recognizable images in the field of underwater robotics and marine science, such as underwater target detection and identification of robot navigation and obstacle avoidance.
Kun Xie, Wei Pan, Suxia Xu
doaj   +1 more source

Pyramid Fusion Dark Channel Prior for Single Image Dehazing

open access: yesCoRR, 2021
In this paper, we propose the pyramid fusion dark channel prior (PF-DCP) for single image dehazing. Based on the well-known Dark Channel Prior (DCP), we introduce an easy yet effective approach PF-DCP by employing the DCP algorithm at a pyramid of multi-scale images to alleviate the problem of patch size selection.
Qiyuan Liang   +2 more
openaire   +2 more sources

Automatic Underwater Image Enhancement using Improved Dark Channel Prior

open access: yesStudies in Digital Heritage, 2017
Images taken under water are often of a monochromatic appearance, due to the physical interaction (absorption and reflection) between particles and light sources.
Marco Block   +2 more
doaj   +1 more source

Image Dehazing in Disproportionate Haze Distributions

open access: yesIEEE Access, 2021
Haze removal techniques employed to increase the visibility level of an image play an important role in many vision-based systems. Several traditional dark channel prior-based methods have been proposed to remove haze formation and thereby enhance the ...
Shih-Chia Huang   +7 more
doaj   +1 more source

Dehazing with Dark Channel Prior: Analysis and Implementation

open access: yesImage Processing On Line
In outdoor scenes, atmospheric absortion and scattering attenuate the radiance received by the camera and may produce haze. In 2009 He et al. proposed a simple but effective dehazing algorithm based on a hypothesis called the 'dark channel prior' (DCP). Based on this prior several other dehazing methods have been published in recent years.
Lisani, Jose-Luis, Hessel, Charles
openaire   +1 more source

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