Framework for Illumination Estimation and Segmentation in Multi-Illuminant Scenes
IEEE Access, 2023 Color constancy is an important part of the human visual system, as it allows us to perceive the colors of objects invariant to the color of the illumination that is illuminating them.
Donik Vrsnak +3 more
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Which Features Are More Correlated to Illuminant Estimation: A Composite Substitute
Applied Sciences, 2022 Computational color constancy (CCC) is to endow computers or cameras with the capability to remove the color bias effect caused by different scene illuminations. The first procedure of CCC is illuminant estimation, i.e., to calculate the illuminant color
Yunhui Luo, Xingguang Wang, Qing Wang
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Illuminant estimation method based on Color Lines and dichroic reflection model
Franklin OpenIn some shooting environments, a color cast can be introduced by the color of the illuminant. This color cast can result in an image that differs from the original color of the subject, adversely affecting image analysis and recognition processes that ...
Soshun Muto +2 more
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Deep Spatio-Temporal Illuminant Estimation Under Time-Varying AC Lights
IEEE Access, 2022 Artificial lights, which are powered by alternating current (AC), are ubiquitous nowadays. The intensity of these lights fluctuates dynamically depending on the AC power.
Jun-Sang Yoo +4 more
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Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 more
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ARiRTN: A Novel Learning-Based Estimation Model for Regressing Illumination [PDF]
Sensors, 2023 In computational color constancy, regressing illumination is one of the most common approaches to manifesting the original color appearance of an object in a real-life scene.
Ho-Hyoung Choi, Gi-Seok Kim
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CVCC Model: Learning-Based Computer Vision Color Constancy with RiR-DSN Architecture [PDF]
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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DDCATNet: Effective Deep Learning-Based Illumination Color Cast Estimation Approach for Achieving Computational Color Constancy [PDF]
SensorsDigital camera sensors are designed to capture a wide range of incident illuminants, enabling the creation of high-quality images. However, these sensors lack the capability to differentiate between the color of the source illuminant and the actual color
Ho-Hyoung Choi
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IEEE Access, 2021 Since AlexNet, large deep convolutional neural networks (DCNNs) have been one of the major topics of interest in the field of computer vision, as well as bringing remarkable progress to the field. However, there has been little effort to use the DCNNs in
Ho-Hyoung Choi, Byoung-Ju Yun
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Human-aligned evaluation of a pixel-wise DNN color constancy model [PDF]
Frontiers in Human NeuroscienceIntroductionWe previously investigated color constancy in photorealistic virtual reality (VR) and developed a Deep Neural Network (DNN) that predicts reflectance from rendered images.MethodsWe combine both approaches to compare and study a model and ...
Hamed Heidari-Gorji +2 more
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