Results 131 to 140 of about 3,709,095 (175)
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Face-Based Illuminant Estimation
2012In this work we show that it is possible to use skin tones to estimate the illuminant color. We use a face detector to find faces in the scene, and the corresponding skin colors to estimate the chromaticity of the illuminant. The method, that has been presented at CVPR 2012 [1] is based on two observations: first, skin colors tend to form a cluster in ...
Simone Bianco 0001, Raimondo Schettini
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Graph-Based Spectral Attention with Multi-Spectral Images for Illuminant Estimation
IEEE Workshop/Winter Conference on Applications of Computer VisionExisting color constancy methods based on deep learning primarily rely on the RGB domain and often struggle with accurate illuminant estimation in scenes with minimal spatial information, such as monochromatic environments, leading to suboptimal ...
Dong-Hoon Kang +2 more
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Corrected-Moment Illuminant Estimation
2013 IEEE International Conference on Computer Vision, 2013Image colors are biased by the color of the prevailing illumination. As such the color at pixel cannot always be used directly in solving vision tasks from recognition, to tracking to general scene understanding. Illuminant estimation algorithms attempt to infer the color of the light incident in a scene and then a color cast removal step discounts the
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Estimation of illuminator scintillation in laser-illuminated imagery
SPIE Proceedings, 2013It is well known that atmospheric turbulence corrupts the phase front of laser beam propagation. The phase distortions manifest themselves as intensity fluctuations when the beam is propagated over some distance. This intensity fluctuation is often referred to as scintillation.
David C. Dayton, James B. Lasche
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Illumination estimation for augmented reality based on a global illumination model
Multimedia Tools and Applications, 2019With the rapid development of 3D technology, the illumination consistency plays an important role in realistic rendering of virtual objects which are superimposed into the real scene. In this paper we proposed a new approach to estimate illumination, given the images of a scene.
Aijia Zhang +2 more
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Illuminant Intensity Compensation with Depth Estimation for Underwater Image Restoration
2024 2nd International Conference on Computer Graphics and Image Processing (CGIP)Visual quality restoration in underwater images has been paid more attention in recent years as it is a fundamental task in many relevant image processing applications.
Pin-Yi Kuan, Herng-Hua Chang
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International Conference on Communications in Computing, 2019
This study proposes an illuminant estimation method that reproduces the original illuminant of a scene using a mobile display as a target. The original lighting environment of an auto white-balancing (AWB) photograph is obtained through reverse ...
Taesu Kim, Eunjin Kim, Hyeon-Jeong Suk
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This study proposes an illuminant estimation method that reproduces the original illuminant of a scene using a mobile display as a target. The original lighting environment of an auto white-balancing (AWB) photograph is obtained through reverse ...
Taesu Kim, Eunjin Kim, Hyeon-Jeong Suk
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Using the red chromaticity for illumination estimation
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), 2015Achieving color invariance to illumination is known as color constancy and it is implemented in most digital cameras. There are statistics-based and learning-based computational color constancy methods and the latter ones are known to be more accurate.
Nikola Banic, Sven Loncaric
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Estimation of color under fluorescent illuminants
Proceedings of 1st International Conference on Image Processing, 2002Fluorescent lamps are the most common lighting source for desktop publishing and standard viewing conditions. In order to predict the appearance of reflective material viewed under fluorescent lamps, the CIE tristimulus values must be computed. While these values are readily computed for most smoothly varying reflectances by using a simple summation ...
H. Joel Trussell, Manish S. Kulkarni
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2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2019
In most scenes, images captured by digital devices are greatly influenced by environmental illuminant. Because there are different illuminants in the scene, the color from objects even change and be similar to the illuminant color.
Meng-Wei Lin, Ting Wu, Cheng-Lun Chen
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In most scenes, images captured by digital devices are greatly influenced by environmental illuminant. Because there are different illuminants in the scene, the color from objects even change and be similar to the illuminant color.
Meng-Wei Lin, Ting Wu, Cheng-Lun Chen
semanticscholar +1 more source

