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Illuminant Estimation Using RGB Camera Image and Ambient Light Sensor Signal
Color Research & ApplicationIlluminant estimation in camera color space is a critical step in the image signal processing pipeline, which is commonly performed based on the RGB RAW images captured by a camera.
Yuyang Liu, Minchen Wei
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Estimation of illumination for color correction
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991The reproduction of color images often requires color correction. The original image may have been recorded under one illumination while the reproduction is to be viewed under another or made to appear as if it were recorded under another. Since it is often the case that the original illumination is unknown to the image scientist, it is necessary to ...
H. Joel Trussell, Michael J. Vrhel
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Boosting Illuminant Estimation in Deep Color Constancy through Enhancing Brightness Robustness
arXiv.orgColor constancy estimates illuminant chromaticity to correct color-biased images. Recently, Deep Neural Network-driven Color Constancy (DNNCC) models have made substantial advancements.
Mengda Xie +4 more
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Illuminant estimation for multichannel images
SPIE Proceedings, 2005Multi-channel imaging gains more and more applications because of its advantage in better color reproduction and better spectral representation to avoid metamerism problem. Illuminant estimation for multi-channel images is not widely studied because most illuminant estimation methods are applied to trichromatic images.
Xiaoyun Jiang, Mark D. Fairchild
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Illumination compensation for microscope images based on illumination difference estimation
The Visual Computer, 2021The DNA ploidy analysis which measures the relative content of DNA in cells by image processing has a wide range of applications in cancer diagnosis. However, the measured results of the same cell in different positions are different because of uneven illumination, which may reduce the measurement accuracy and the diagnosis performance.
Jun Yu +5 more
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End-to-End Illuminant Estimation Based on Deep Metric Learning
Computer Vision and Pattern Recognition, 2020Previous deep learning approaches to color constancy usually directly estimate illuminant value from input image. Such approaches might suffer heavily from being sensitive to the variation of image content.
Bolei Xu +4 more
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J. Electronic Imaging
. In capturing images, cameras often encounter color-cast problems owing to variations in the illumination of different scenes. Existing algorithms attempt to estimate the illuminant information from the raw image data captured by a camera sensor to ...
Pengcheng Zhao +4 more
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. In capturing images, cameras often encounter color-cast problems owing to variations in the illumination of different scenes. Existing algorithms attempt to estimate the illuminant information from the raw image data captured by a camera sensor to ...
Pengcheng Zhao +4 more
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A Unified Framework for Scene Illuminant Estimation
Procedings of the British Machine Vision Conference 2004, 2004Most existing illuminant estimation algorithms work with assumptions of specific source types (e.g. directional light source or point light source). The assumptions bring up two main limitations which significantly restrict their applicabilities: first, the prior knowledge about source types is needed; second, it can not handle complex scenes where ...
Wei Zhou, Chandra Kambhamettu
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Illuminant estimation using pixels spatially close to the illuminant in the rg-chromaticity space
J. Electronic Imaging, 2020. Color constancy algorithms can provide us with illuminant invariant descriptions for a scene, and it is often accomplished by illuminant estimation. Most statistics-based methods estimate the illuminant color from the information provided by all pixels
Hang Luo, Xiaoxia Wan, Jinxing Liang
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Illuminant and light direction estimation using Wasserstein distance method
arXiv.orgIllumination estimation remains a pivotal challenge in image processing, particularly for robotics, where robust environmental perception is essential under varying lighting conditions. Traditional approaches, such as RGB histograms and GIST descriptors,
Selçuk Yazar
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