Results 21 to 30 of about 1,741,443 (291)
The Cube++ Illumination Estimation Dataset
IEEE Access, 2020 Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras.
Egor Ershov +8 more
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Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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On the Performance of the Two-Diode Model for Photovoltaic Cells Under Indoor Artificial Lighting
IEEE Access, 2021 Models of photovoltaic devices are an important tool for the estimation of their I-V characteristics. These characteristics, in turn, can be used to optimize production, compare devices, or predict the output power under different illumination conditions.
Xinyu Ma, Sebastian Bader, Bengt Oelmann
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Illuminant spectrum estimation at a pixel [PDF]
Journal of the Optical Society of America A, 2011 In this paper, an algorithm is proposed to estimate the spectral power distribution of a light source at a pixel. The first step of the algorithm is forming a two-dimensional illuminant invariant chromaticity space. In estimating the illuminant spectrum, generalized inverse estimation and Wiener estimation methods were applied.
Sivalogeswaran, Ratnasingam +1 more
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A Novel Automatic White Balance Method for Color Constancy Under Different Color Temperatures
IEEE Access, 2021 The spectrum distribution of the light source between scenes is usually uniform in all scenes lit by a given light source per the color constancy assumption.
Wei-Yen Hsu, Han-Chang Cheng
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Illuminant estimation in multispectral imaging [PDF]
Journal of the Optical Society of America A, 2017 With the advancement in sensor technology, the use of multispectral imaging is gaining wide popularity for computer vision applications. Multispectral imaging is used to achieve better discrimination between the radiance spectra, as compared to the color images. However, it is still sensitive to illumination changes.
Khan, Haris Ahmad +3 more
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CVCC Model: Learning-Based Computer Vision Color Constancy with RiR-DSN Architecture
Sensors, 2023 To achieve computer vision color constancy (CVCC), it is vital but challenging to estimate scene illumination from a digital image, which distorts the true color of an object.
Ho-Hyoung Choi
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Shape estimation in natural illumination [PDF]
CVPR 2011, 2011 The traditional shape-from-shading problem, with a single light source and Lambertian reflectance, is challenging since the constraints implied by the illumination are not sufficient to specify local orientation. Photometric stereo algorithms, a variant of shape-from-shading, simplify the problem by controlling the illumination to obtain additional ...
Micah K. Johnson, Edward H. Adelson
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Plant Methods, 2023 Background The advancements in unmanned aerial vehicle (UAV) technology have recently emerged as an effective, cost-efficient, and versatile solution for monitoring crop growth with high spatial and temporal precision. This monitoring is usually achieved
Yuxiang Wang +3 more
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INTEL-TAU: A Color Constancy Dataset
IEEE Access, 2021 In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research.
Firas Laakom +4 more
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