[HTML][HTML] Biologically inspired image invariance guided illuminant estimation using shallow and deep models

S Gao, L He, Y Li - Expert Systems with Applications, 2024 - Elsevier
Estimating the illuminant from a color-biased image is an ill-posed problem without prior
information or invariance about the surfaces of a scene. Based on the classical image …

Advances of the Scientific School of VL Arlazarov in Dataset Creation and Training Sample Synthesis for Solving Modern Computer Vision Problems

YS Chernyshova, AV Sheshkus, KB Bulatov… - Pattern Recognition and …, 2023 - Springer
This paper considers a scientific school of synthesis of samples and creation of datasets,
which is a part of the family of scientific schools associated with image processing and …

Noise-aware deep learning algorithm for one-stage multispectral pedestrian detection

H Dao, H Mac, D Tran - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
Multispectral pedestrian detection has gained momentum in the research literature with its
wide range of applications in car safety, video surveillance, and robotics. We introduce a …

ReCC-GAN: scene global illuminant estimation network based on Retinex and generative adversarial network

P Zhao, B Su, R Chai, P Qin… - Journal of Electronic …, 2024 - spiedigitallibrary.org
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 …

Segmentation of Agricultural Parcels in Satellite Images Based on Historical Vegetation Index Data

M Pavlova, V Timofeev, D Bocharov, I Kunina… - 2021 - preprints.org
This paper considered the issue of agricultural fields boundary recognition in satellite
images. A novel algorithm based on the aggregated history of vegetation index data …

Image understanding for color constancy and vice versa

S Bianco, M Buzzelli - London Imaging Meeting, 2021 - library.imaging.org
In this article we show the change in paradigm occurred in color constancy algorithms: from
a pre-processing step in image understanding, to the exploitation of image understanding …