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Dark and Bright Channel Priors for Haze Removal in Day and Night Images
Intelligent Automation & Soft Computing, 2022Removal of noise from images is very important as a clear, denoised image is essential for any application.In this article, a modified haze removal algorithm is developed by applying combined dark channel prior and multi-scale retinex theory.The combined dark channel prior (DCP) and bright channel prior (BCP) together with the multi-scale retinex (MSR)
U. Hari, A. Ruhan Bevi
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The bright side of online recycling: Perspectives of customer’s channel preference and competition
Electronic Commerce Research and Applications, 2021Abstract Online recycling has gradually become an effective way for remanufacturers in collecting used products. Meanwhile, this new recycling business model complicates the marketing and operational decisions for firms in the reverse supply chain (RSC). This study focuses a RSC which consists of a remanufacturer and a recycler.
Benrong Zheng, Shoujun Huang, Liang Jin
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Bright future of optical assays for ion channel drug discovery
Drug Discovery Today, 2008Ion channels are a key target class for drug discovery. The introduction of new and optimized optical probes, including fluorescent protein-based calcium sensors, luminescent photoproteins, voltage-sensitive probes and ion indicators, allows tackling a wide variety of ion channel targets.
Elena, Molokanova, Alex, Savchenko
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Simulating brightness temperatures at SSM/I channels in the Mediterranean area
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004An accurate retrieval of atmospheric and sea surface parameters from spaceborne microwave radiometers requires to validate the radiative forward model capable to simulate the brightness temperatures for known atmospheric and surface conditions. Matching the forward model and the retrieval algorithm to the climatological condition of the area of ...
PIERDICCA, Nazzareno, PULVIRENTI, Luca
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Unsupervised Low-Light Image Enhancement Using Bright Channel Prior
IEEE Signal Processing Letters, 2020Recent approaches for low-light image enhancement achieve excellent performance through supervised learning based on convolutional neural networks. However, it is still challenging to collect a large amount of low-/normal-light image pairs in real environments for training the networks.
Hunsang Lee, Kwanghoon Sohn, Dongbo Min
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Brightness estimation supports a two-channel model of achromatic brightness processing
Annual Meeting Optical Society of America, 1986Brightness magnitude estimation functions for 3400° white circular increments on a 2700° white 38 cd/m2 background were measured on a modified Tubingen perimeter. The stimuli ranged from 1.7′ to 66′ in diameter, 0.07-1 s in duration, and 0° to 20° in eccentricity. Brightness estimates were obtained at 0.2 log unit luminance intervals from the increment
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A Fast Image Enhancement Algorithm Using Bright Channel
2014After summarizing the poor-illumination image enhancement methods and analyzing the shortcomings of the currently well-performed multi-scale Retinex algorithm, this paper proposed a new image speedy algorithm with detailed illumination component information.
Long Chen, Wei Sun, Jiaxing Feng
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Correlation between Brightness and Channel Currents of Electrical Discharges
IEEE Transactions on Dielectrics and Electrical Insulation, 2007Channel brightness of 500 mm long electrical discharges were measured by analyzing a set of digitized images taken by 3 cameras placed symmetrically around a discharge gap at a radial distance of 200 cm from the axis of the spark. The sparks were generated between a steel rod and a plane electrode.
Dulan Amarasinghe +3 more
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Contribution of chromatic channels to brightness: effects of retinal Illuminance
Annual Meeting Optical Society of America, 1988Spectral luminous efficiency functions were measured by direct heterochromatic brightness matching and flicker photometry at the retinal illuminance levels, 1, 10, 100, and 1000 trolands with a 2° visual field. For all four subjects, as the retinal illuminance increases, the luminous efficiency curves for heterochromatic brightness matching broaden ...
Hirohisa Yaguchi +3 more
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Intercalibration of NOAA and Meteosat window channel brightness temperatures
International Journal of Remote Sensing, 2005This study presents an intercalibration of Meteosat‐5 11 µm channel and NOAA‐14 10.8 µm and 12.0 µm channels, and their comparison for sea and land pixels. The intercalibration empirical relation is derived for clear‐sky sea measurements, with similar zenith viewing angles.
Barroso, C. +4 more
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