Self-supervised cross frame-rate event-frame depth learning without ground truth. [PDF]
Arigela AK +5 more
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DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy. [PDF]
Choi HH.
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Adaptive Atmospheric Light Estimation for Dehazing via a Novel Decoupled Scattering Model with Neutral-Pixel and Visual-Depth Priors. [PDF]
Zhu Z, Zhang X.
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SALC-Net: A lightweight contour-preserving segmentation network for yak body segmentation in complex grazing environments. [PDF]
Zhang W +5 more
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Boundary-Transition Characterization in High-Speed Underwater Bubble Imaging Under Broadband and Narrow-Band Illumination. [PDF]
Lu C, Fan S, Yang Y, He J, Cao Y.
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Iterating the transient light transport matrix for non-line-of-sight imaging. [PDF]
Sultan T +6 more
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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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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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Consensus-driven illuminant estimation with GANs
Thirteenth International Conference on Machine Vision, 2021We present a method for illuminant estimation that exploits a generative adversarial network architecture to generate a spatially-varying illuminant map. This map is then transformed by consensus into a global illuminant estimation, in the form of a single RGB triplet. To this end, different consensus strategies are designed and compared in this paper.
Buzzelli, Marco +3 more
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