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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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Spectral Sharpening of Color Sensors: Diagonal Color Constancy and Beyond
Sensors, 2014 It has now been 20 years since the seminal work by Finlayson et al. on the use of spectral sharpening of sensors to achieve diagonal color constancy. Spectral sharpening is still used today by numerous researchers for different goals unrelated to the ...
Javier Vazquez-Corral +1 more
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IEEE Access, 2020 In the human and computer vision, color constancy is the ability to perceive the true color of objects in spite of changing illumination conditions. Color constancy is remarkably benefitting human and computer vision issues such as human tracking, object
Ho-Hyoung Choi, Byoung-Ju Yun
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Deep Learning Network with Illuminant Augmentation for Diabetic Retinopathy Segmentation Using Comprehensive Anatomical Context Integration [PDF]
DiagnosticsBackground/Objectives: Diabetic retinopathy (DR) segmentation faces critical challenges from domain shift and false positives caused by heterogeneous retinal backgrounds.
Sakon Chankhachon +3 more
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IEEE Access, 2021 For the imaging signal processing (ISP) pipeline of digital image devices, it is of high significance to remove undesirable illuminant effects and obtain color invariance, commonly known as ‘computational color constancy’.
Ho-Hyoung Choi, Byoung-Ju Yun
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Three-Color Balancing for Color Constancy Correction
Journal of Imaging, 2021 This paper presents a three-color balance adjustment for color constancy correction. White balancing is a typical adjustment for color constancy in an image, but there are still lighting effects on colors other than white. Cheng et al.
Teruaki Akazawa +3 more
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Computational modeling of color perception with biologically plausible spiking neural networks.
PLoS Computational Biology, 2022 Biologically plausible computational modeling of visual perception has the potential to link high-level visual experiences to their underlying neurons' spiking dynamic. In this work, we propose a neuromorphic (brain-inspired) Spiking Neural Network (SNN)-
Hadar Cohen-Duwek +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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Iterative Convolutional Neural Network-Based Illumination Estimation
IEEE Access, 2021 In the image processing pipelines of digital cameras, one of the first steps is to achieve invariance in terms of scene illumination, namely computational color constancy.
Karlo Koscevic +2 more
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Frontiers in Neuroscience, 2022 Restoring the correct or realistic color of a cultural heritage object is a crucial problem for imaging techniques. Digital images often have undesired color casts due to adverse effects caused by unstable illuminant conditions, vignetting, and color ...
Zhen Liu +6 more
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