Results 41 to 50 of about 870,321 (334)

Probing sub-GeV Dark Matter with conventional detectors [PDF]

, 2017
The direct detection of Dark Matter particles with mass below the GeV-scale is hampered by soft nuclear recoil energies and finite detector thresholds. For a given maximum relative velocity, the kinematics of elastic Dark Matter nucleus scattering sets a
Kouvaris, Chris, Pradler, Josef
core   +2 more sources

Weighted Dark Channel Dehazing

, 2019
In dark channel based methods, local constant assumption is widely used to make the algorithms invertible. It inevitably introduces defects since the assumption can not perfectly avoid depth discontinuities and meanwhile cover enough pixels. Unfortunately, because of the limitation of the prior, which only confirms the existence of dark things but does
Mingzhu, Zhu, Bingwei, He, Jiantao, Liu
openaire   +2 more sources

Fast algorithm for dark channel prior

Electronics 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

Models for self-resonant dark matter

Journal of High Energy Physics, 2022
We consider a new mechanism for enhancing the self-scattering and annihilation cross sections for dark matter with multiple components but without a light mediator.
Seong-Sik Kim, Hyun Min Lee, Bin Zhu
doaj   +1 more source

Region Adaptive Single Image Dehazing

Entropy, 2021
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

Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]

Radioengineering, 2021
Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj  

An image dehazing method based on multi-scale fusion

Shenzhen Daxue xuebao. Ligong ban
Dehazing is an important preprocessing technique in computer vision. It can make vision system adapt to different weather conditions. Traditional dark channel prior (DCP) based methods ignore the edge between the objects, which result in halo artifacts ...
QIU Yunming, ZHANG Shengdong, FAN En, HOU Neng   +3 more
doaj   +1 more source

Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model

Remote Sensing, 2022
Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; therefore, we propose a ...
Weijie Chen, Zhenhong Jia, Jie Yang, Nikola K. Kasabov   +3 more
doaj   +1 more source

Searching for Boosted Dark Matter via Dark-Strahlung

, 2019
We propose a new search channel for boosted dark matter (BDM) signals coming from the present universe, which are distinct from simple neutrino signals including those coming from the decay or pair-annihilation of dark matter.
Kim, Doojin, Park, Jong-Chul, Shin, Seodong   +2 more
core   +1 more source

Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy

IEEE Access
We proposed a novel image-enhancing framework to ensure consolidated restoration accuracy when remedying the visual quality of dehazed images, such as over-saturation, color deviation, or luminance issues. Conventionally, the dehazing process was usually
Ping-Juei Liu
doaj   +1 more source